Triple
T25015678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | firstNASCARWinstonCupWinTrack |
P177276
|
FINISHED |
| Object | Richmond Fairgrounds Raceway |
—
|
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: Richmond Fairgrounds Raceway | Statement: [Lawrence Neil Bonnett, firstNASCARWinstonCupWinTrack, Richmond Fairgrounds Raceway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNASCARWinstonCupWinTrack Context triple: [Lawrence Neil Bonnett, firstNASCARWinstonCupWinTrack, Richmond Fairgrounds Raceway]
-
A.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
B.
firstNASCARTruckSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
-
C.
firstNASCARBuschSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Busch Series race.
-
D.
NASCARCupSeriesWins
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
E.
totalNASCARWins
Indicates the total number of NASCAR race victories achieved by an entity.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 18, 2026, 6:06 a.m.