Triple
T5502614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dia Art Foundation |
E144363
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Dia Beacon |
E15760
|
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: Dia Beacon | Statement: [Dia Art Foundation, operates, Dia Beacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dia Beacon Context triple: [Dia Art Foundation, operates, Dia Beacon]
-
A.
Beacon
chosen
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
B.
The Beacon
The Beacon is a prominent hill on the Gower Peninsula in Wales, known for its elevated views over the surrounding coastline and countryside.
-
C.
Belisha beacon
A Belisha beacon is a flashing amber globe mounted on a black-and-white striped pole used to mark pedestrian crossings, particularly in the United Kingdom.
-
D.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
E.
Riva Marker
Riva Marker is an American film producer and co-founder of Nine Stories Productions, known for producing character-driven independent and prestige films.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0bbea48190bb6fecaee9c0b1d0 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027a67d648190ac8d097202c8ec3d |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.