Triple
T32655399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin Racing |
E834846
|
entity |
| Predicate | classWins |
P176787
|
FINISHED |
| Object | 24 Hours of Le Mans GT classes |
—
|
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: 24 Hours of Le Mans GT classes | Statement: [Aston Martin Racing, classWins, 24 Hours of Le Mans GT classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classWins Context triple: [Aston Martin Racing, classWins, 24 Hours of Le Mans GT classes]
-
A.
winsFor
Indicates that one entity achieves victory or success on behalf of, or in favor of, another entity.
-
B.
cupWins
Indicates that an entity has won a specific cup or tournament competition.
-
C.
winnerThrows
Indicates that the entity identified as the winner performs or executes a throw action toward or involving another entity.
-
D.
winsWithTeam
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
E.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
- F. None of above. chosen
Provenance (4 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:08 a.m.