Triple
T5548198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boise State University |
E145460
|
entity |
| Predicate | footballStadiumSurfaceColor |
P32066
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Boise State University, footballStadiumSurfaceColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballStadiumSurfaceColor Context triple: [Boise State University, footballStadiumSurfaceColor, blue]
-
A.
homeFieldSurface
Indicates the type of playing surface used at a team's home field or stadium.
-
B.
stadiumFeature
chosen
Indicates that a stadium possesses or includes a particular feature, characteristic, or facility.
-
C.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
-
D.
hostTeamStadium
Indicates that a particular team plays its home games at a specified stadium.
-
E.
mainStadium
Indicates that a particular stadium serves as the primary or home stadium associated with an entity (such as a team, club, or organization).
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe0244c8190aeb995f79f22a039 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.