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dataset card: v2.0.1 RDF + full-record Parquet release

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  1. README.md +80 -35
README.md CHANGED
@@ -6,26 +6,36 @@ tags:
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  - knowledge-graph
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  - rdf
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  - n-triples
 
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  - llm-generated
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- pretty_name: GPTKB v2 (simplified RDF export)
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  size_categories:
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  - 10M<n<100M
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  ---
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- # GPTKB v2 — simplified RDF export
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- Interim release. Browse, query or ask the full knowledge base at
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  **[gptkb.org](https://gptkb.org/)**.
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  | | |
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  | --- | --- |
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- | File | `gptkb_v2.0_rdf.nt.gz` |
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- | Format | N-Triples, gzipped (366 MB; 3.2 GB uncompressed) |
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- | Size | 33,364,378 lines → **32,794,801 distinct triples** once loaded |
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  | License | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
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- ## What this is
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-
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  The graph served by the SPARQL endpoint at
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  [gptkb.org/query](https://gptkb.org/query/). Entities, predicates and
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  concepts are ID-based IRIs:
@@ -48,41 +58,76 @@ Literals are plain RDF strings — typed literals (`xsd:date`,
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  `xsd:integer`) are deferred. Concepts carry no `rdfs:subClassOf`: the
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  source has no hierarchy to export.
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- ## What this is not
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- It is not the whole of v2, and the gap is the point of the project.
 
 
 
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  A fact in GPTKB v2 has **six** terms, not three: alongside the
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  disambiguated subject, predicate and object, it records the *wording*
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  each was stated with, and the provenance of how that wording was
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- resolved. A triple has nowhere to put either.
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-
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- The surface forms survive here — they are attached to the entity as
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- `skos:altLabel`, so `E14` (United States of America) carries 127 of
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- them: `US`, `U.S.A.`, `America`, `Estados Unidos de América`, and so on.
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- What does not survive is **which form was used on which fact**. You can
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- see the loss directly: `<E0> <P0> <C0>` appears five times in the file,
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- because five differently worded facts about Vannevar Bush resolve to
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- it, and RDF set semantics keep one. That collapse is the entire
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- difference between this file's 33,364,378 lines and the 32,794,801
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- triples a store loads from it.
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-
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- Provenance is absent outright — no batch identifiers, no pipeline
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- status, no object descriptions.
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-
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- A release carrying the full six-term record is in preparation. Until
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- then, every [entity](https://gptkb.org/browse/) and triple page on
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- gptkb.org shows it.
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-
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- ## Loading
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ```bash
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- # Virtuoso, QLever, Jena, rdflib — anything that reads N-Triples
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- gunzip -c gptkb_v2.0_rdf.nt.gz | head
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  ```
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- Load into a named graph of `<https://gptkb.org/gptkb>` to match the IRIs
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- the file already carries.
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  ## Earlier versions
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  - knowledge-graph
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  - rdf
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  - n-triples
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+ - parquet
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  - llm-generated
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+ pretty_name: GPTKB v2
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  size_categories:
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  - 10M<n<100M
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  ---
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+ # GPTKB v2
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+ Browse, query or ask the full knowledge base at
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  **[gptkb.org](https://gptkb.org/)**.
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+ Two artifact lines, one knowledge base (snapshot `gpt51_270226`,
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+ 38,450,135 source facts):
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+
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+ | File | What it is |
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+ | --- | --- |
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+ | `gptkb_v2.0.1_rdf.nt.gz` | **Simplified RDF export — use this one.** |
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+ | `gptkb_v2.0_full_record/` | **The full six-term record**, as Parquet. |
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+ | `gptkb_v2.0_rdf.nt.gz` | Superseded interim RDF export, kept for citability. |
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+
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+ ## Simplified RDF export (`gptkb_v2.0.1_rdf.nt.gz`)
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+
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  | | |
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  | --- | --- |
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+ | Format | N-Triples, gzipped (425 MB; 4.1 GB uncompressed) |
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+ | Size | 42,327,043 lines → **41,511,580 distinct triples** once loaded |
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+ | sha256 | `202d9e32f28548ae661b3f8cf9db83411fe18a063702f9c98df4b553d750e801` |
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  | License | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
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  The graph served by the SPARQL endpoint at
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  [gptkb.org/query](https://gptkb.org/query/). Entities, predicates and
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  concepts are ID-based IRIs:
 
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  `xsd:integer`) are deferred. Concepts carry no `rdfs:subClassOf`: the
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  source has no hierarchy to export.
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+ **v2.0.1 vs the interim v2.0 file.** Same knowledge base, same
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+ snapshot — the difference is how much of it the pipeline had
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+ disambiguated at export time. The interim file was cut when roughly
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+ half of the named-entity objects had been resolved to entity IDs;
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+ facts whose object was still unresolved could mint no IRI and were
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+ skipped. This re-export was cut after the disambiguation pipeline
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+ completed: about one million further entities exist in the catalog,
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+ named-entity coverage is ~99.8%, and only 62,600 of the 38,450,135
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+ source facts remain unexportable. Concretely: the loaded graph grows
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+ from 32.8M to 41.5M triples, and `E14` (United States of America) now
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+ carries 168 `skos:altLabel` surface forms where the interim file had
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+ 127.
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+
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+ ### Loading
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+
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+ ```bash
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+ # Virtuoso, QLever, Jena, rdflib — anything that reads N-Triples
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+ gunzip -c gptkb_v2.0.1_rdf.nt.gz | head
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+ ```
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+ Load into a named graph of `<https://gptkb.org/gptkb>` to match the
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+ IRIs the file already carries.
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+
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+ ## The full record (`gptkb_v2.0_full_record/`)
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  A fact in GPTKB v2 has **six** terms, not three: alongside the
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  disambiguated subject, predicate and object, it records the *wording*
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  each was stated with, and the provenance of how that wording was
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+ resolved. A triple has nowhere to put either — in the RDF export,
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+ `<E0> <P0> <C0>` appears five times because five differently worded
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+ facts about Vannevar Bush resolve to it, and RDF set semantics keep
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+ one. That collapse is the entire difference between the `.nt` file's
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+ 42,327,043 lines and the 41,511,580 triples a store loads from it.
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+
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+ This directory is the release the RDF export cannot be: the relational
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+ tables themselves, streamed to Parquet (zstd) with every surface form,
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+ pipeline status and batch id intact.
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+
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+ | Table | Rows | Contents |
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+ | --- | --- | --- |
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+ | `triples-0000*.parquet` (8 shards) | 38,450,135 | one row per fact: ids **and** surface labels for subject/predicate/object, object type + statuses, `object_description`, the 7 pipeline batch ids, `created_at` |
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+ | `instance_triples.parquet` | 2,528,556 | the instanceOf specialization (entity → concept, + CD/CDG batch ids) |
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+ | `entities.parquet` | 2,297,995 | entity catalog: id, canonical label, description, status, provenance |
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+ | `predicates.parquet` | 207,633 | predicate catalog |
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+ | `concepts.parquet` | 66,523 | concept catalog |
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+ | `batches.parquet` | 123,444 | the provenance containers the batch-id columns point into |
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+ | `manifest.json` | — | row counts, shard list, source snapshot |
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+
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+ Surface-form variation is preserved as distinct rows: "John Smith,
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+ bornIn, NYC" and "Jane Smith, bornIn, Big Apple" are two rows even
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+ when both objects resolve to the same `E…` id — the wording is the
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+ disambiguation evidence, and it is the point of the project.
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+
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+ ### Loading
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+
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+ ```python
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+ import duckdb
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+ con = duckdb.connect()
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+ con.sql("SELECT subject_label, predicate_label, object_label, object_id "
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+ "FROM 'gptkb_v2.0_full_record/triples-*.parquet' "
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+ "WHERE object_id = 'E14' LIMIT 10")
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+ ```
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+ ```python
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+ import pandas as pd
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+ entities = pd.read_parquet("gptkb_v2.0_full_record/entities.parquet")
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  ```
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+ All columns are nullable strings, faithful to the source; `created_at`
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+ is the raw pipeline timestamp text.
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  ## Earlier versions
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