Triple
T12398616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Academy of Arts |
E296187
|
entity |
| Predicate | hadCollection |
P17367
|
FINISHED |
| Object | art museum collection |
—
|
LITERAL 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: art museum collection | Statement: [Imperial Academy of Arts, hadCollection, art museum collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCollection Context triple: [Imperial Academy of Arts, hadCollection, art museum collection]
-
A.
hasArtCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
B.
hasPhotographicCollectionAt
Indicates that an entity maintains or possesses a photographic collection located at a specified place or institution.
-
C.
hasMusicCollection
Indicates that one entity possesses or maintains a collection of music items associated with it.
-
D.
hadResource
Indicates that an entity possessed, controlled, or made use of a particular resource at some time.
-
E.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
- F. None of above.
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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.