Triple
T31914585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiro Sports Center |
E814791
|
entity |
| Predicate | servesAsPrimarySportsFacilityFor |
P2500
|
FINISHED |
| Object | Wagner College |
—
|
NE NERFINISHED |
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: Wagner College | Statement: [Spiro Sports Center, servesAsPrimarySportsFacilityFor, Wagner College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsPrimarySportsFacilityFor Context triple: [Spiro Sports Center, servesAsPrimarySportsFacilityFor, Wagner College]
-
A.
sportsFacility
chosen
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
B.
sportsVenueFor
Indicates that a venue is used as the location or facility where a particular sport or sporting event takes place.
-
C.
isPartOfSportsVenue
Indicates that one entity is a component, section, or area contained within a larger sports venue.
-
D.
sportsInfrastructureDevelopedFor
Indicates that sports-related facilities or structures have been created, improved, or established for the benefit or use of a particular entity.
-
E.
placeOfSportsActivity
Indicates the location where a sports activity is or was carried out.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 12:02 a.m.