Triple
T37206621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSMIA Terminal 2 |
E922186
|
entity |
| Predicate | hasArtCollectionSize |
P425
|
FINISHED |
| Object | over 5000 art objects (approximate) |
—
|
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: over 5000 art objects (approximate) | Statement: [CSMIA Terminal 2, hasArtCollectionSize, over 5000 art objects (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtCollectionSize Context triple: [CSMIA Terminal 2, hasArtCollectionSize, over 5000 art objects (approximate)]
-
A.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
B.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
-
C.
hasNumberOfPaintedGalleries
Indicates the quantity of galleries that have been painted in relation to a given subject.
-
D.
hasHeraldicCollection
Indicates that an entity possesses or is associated with a collection of heraldic items, such as coats of arms, crests, or related insignia.
-
E.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 3, 2026, 4:15 p.m.