Triple
T1735552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikifunctions |
E37910
|
entity |
| Predicate | supportsProject |
P12986
|
FINISHED |
| Object | Wikidata |
E37902
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wikidata | Statement: [Wikifunctions, supportsProject, Wikidata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikidata Context triple: [Wikifunctions, supportsProject, Wikidata]
-
A.
Wikidata
chosen
Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
-
B.
Wikidata Query Service
Wikidata Query Service is an online SPARQL endpoint and interface that allows users to query and explore structured data stored in Wikidata.
-
C.
Wikibase
Wikibase is a free, open-source software suite developed by Wikimedia for storing, managing, and querying structured, linked data.
-
D.
Wikispecies
Wikispecies is a Wikimedia Foundation project that serves as a free, collaborative directory of species and taxonomic information.
-
E.
Library of Congress Linked Data Service
The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a369048190bae352573f5082f1 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaca5f348190a8c1be9948d960e6 |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:30 p.m.