Triple
T34810426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcalá Park campus |
E1003483
|
entity |
| Predicate | hasSportsArena |
P33887
|
FINISHED |
| Object | Jenny Craig Pavilion |
—
|
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: Jenny Craig Pavilion | Statement: [Alcalá Park campus, hasSportsArena, Jenny Craig Pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsArena Context triple: [Alcalá Park campus, hasSportsArena, Jenny Craig Pavilion]
-
A.
hasProfessionalSportsVenue
Indicates that one entity possesses or hosts a venue specifically used for professional sports events.
-
B.
hasSportsVenueType
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
C.
hasSportsGround
chosen
Indicates that an entity possesses, includes, or is associated with a sports ground or athletic field as part of its facilities or area.
-
D.
homeArenaAssociation
Indicates an association where an arena is designated as the primary or home venue for a particular team or organization.
-
E.
isProfessionalSportsVenue
Indicates that a venue is primarily used for hosting professional-level sporting events or competitions.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 3:59 p.m.