Triple
T9754267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Petty |
E236514
|
entity |
| Predicate | numberOfNASCARCupSeriesChampionships |
P68988
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Richard Petty, numberOfNASCARCupSeriesChampionships, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNASCARCupSeriesChampionships Context triple: [Richard Petty, numberOfNASCARCupSeriesChampionships, 7]
-
A.
NorrisTrophyWins
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
B.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
-
C.
numberOfCupSeriesChampionships
chosen
Indicates the total count of Cup Series championships that an entity has won.
-
D.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
E.
minorPremiershipsWon
Indicates the number of minor premiership titles an entity has won in a given competition or league.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.