Triple
T35359303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Racing |
E1021427
|
entity |
| Predicate | bestPointsFinish |
P157542
|
FINISHED |
| Object | 25th in NASCAR Cup Series owner standings |
—
|
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: 25th in NASCAR Cup Series owner standings | Statement: [Hall of Fame Racing, bestPointsFinish, 25th in NASCAR Cup Series owner standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestPointsFinish Context triple: [Hall of Fame Racing, bestPointsFinish, 25th in NASCAR Cup Series owner standings]
-
A.
bestSeasonPointsFinish
chosen
Indicates the highest points-based finishing position an entity has ever achieved in a season.
-
B.
bestRaceFinishPositionAchievedByDriver
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
-
C.
doublePointsFinalRace
Indicates that points awarded in the final race are counted as double their usual value.
-
D.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
-
E.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.