Triple
T34606841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Coliseum |
E888614
|
entity |
| Predicate | hadExhibitSpace |
P179693
|
FINISHED |
| Object | approximately 214,000 square feet |
—
|
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: approximately 214,000 square feet | Statement: [New York Coliseum, hadExhibitSpace, approximately 214,000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadExhibitSpace Context triple: [New York Coliseum, hadExhibitSpace, approximately 214,000 square feet]
-
A.
hasExhibitedAt
Indicates that an entity has displayed or presented its work at a particular event, venue, or exhibition.
-
B.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
C.
exhibitedBefore
Indicates that one entity was displayed, presented, or shown to an audience earlier in time than another entity.
-
D.
hasExhibitionVenue
Indicates that an exhibition is held or hosted at a particular venue.
-
E.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
- F. None of above. chosen
Provenance (4 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:03 a.m.