Triple
T35330612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 Coca-Cola 600 |
E1020304
|
entity |
| Predicate | pointsPayingRace |
P131447
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1995 Coca-Cola 600, pointsPayingRace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsPayingRace Context triple: [1995 Coca-Cola 600, pointsPayingRace, true]
-
A.
pointsPaying
Indicates that one entity is paying or settling an obligation to another entity using points (such as reward or loyalty points) as the form of payment.
-
B.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
C.
kentuckyDerbyPointsRace
chosen
Indicates that an event is a race in which participants can earn qualifying points toward the Kentucky Derby.
-
D.
raceTrack
Indicates that one entity serves as a race track or racing course used by another entity for racing activities.
-
E.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.