Triple
T8300293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikimedia ecosystem |
E194333
|
entity |
| Predicate | includesProject |
P14971
|
FINISHED |
| Object | Wikimedia Commons Data |
E194337
|
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 Data | Statement: [Wikimedia ecosystem, includesProject, Wikimedia Commons Data]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikimedia Commons Data Context triple: [Wikimedia ecosystem, includesProject, Wikimedia Commons Data]
-
A.
Wikimedia Commons
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.
Wikimedia ecosystem
The Wikimedia ecosystem is the interconnected network of free knowledge projects, communities, and infrastructure coordinated by the Wikimedia Foundation, including Wikipedia, Wikimedia Commons, and related initiatives.
-
C.
Wikibase
chosen
Wikibase is a free, open-source software suite developed by Wikimedia for storing, managing, and querying structured, linked data.
-
D.
Wikidata
Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
-
E.
Britannica ImageQuest
Britannica ImageQuest is a curated educational image database offering millions of rights-cleared photos and illustrations for teaching and learning.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd11ed22c819082bf036602eaa038 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68bcb43081909e3a8a00947d03f2 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.