Triple
T1735046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikidata |
E37902
|
entity |
| Predicate | supportsProject |
P12986
|
FINISHED |
| Object | Wikimedia Commons |
E37901
|
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: Wikimedia Commons | Statement: [Wikidata, supportsProject, Wikimedia Commons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikimedia Commons Context triple: [Wikidata, supportsProject, Wikimedia Commons]
-
A.
Wikimedia Commons
chosen
Wikimedia Commons is a free, collaboratively curated online repository of images, audio, video, and other media files that can be used across Wikimedia projects and beyond.
-
B.
Commons
Commons is the commonly used abbreviated name for the House of Commons, the lower house of the Parliament of the United Kingdom.
-
C.
Wikimedia Foundation
The Wikimedia Foundation is a nonprofit organization that hosts and supports Wikipedia and other free-knowledge projects worldwide.
-
D.
Internet Archive
The Internet Archive is a nonprofit digital library that preserves and provides free access to vast collections of websites, books, audio, video, and other cultural artifacts online.
-
E.
Wikisource
Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
- 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_69aa63a2168c819093d302632ff4b7c2 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b008b7881909ac568af010bcf99 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.