Triple
T24744861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drake Bulldogs |
E618664
|
entity |
| Predicate | homeFacilityTrackAndField |
P25450
|
FINISHED |
| Object | Drake Stadium |
—
|
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: Drake Stadium | Statement: [Drake Bulldogs, homeFacilityTrackAndField, Drake Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFacilityTrackAndField Context triple: [Drake Bulldogs, homeFacilityTrackAndField, Drake Stadium]
-
A.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
B.
homeFieldOfAthletics
chosen
Indicates that a location serves as the primary home field or venue where a particular athletics team or organization hosts its events or competitions.
-
C.
hasIndoorTrack
Indicates that a place or facility includes an indoor track as one of its features or amenities.
-
D.
playsCollegeTrackAndField
Indicates that an individual participates as an athlete in college-level track and field competitions.
-
E.
legRunner
Indicates that an entity functions as a runner or moving component that operates in conjunction with a leg or leg-like structure.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:21 a.m.