Triple
T28991412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart-Haas Racing |
E736033
|
entity |
| Predicate | enteredNASCARCupSeriesAsHaasCNC |
P170152
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Stewart-Haas Racing, enteredNASCARCupSeriesAsHaasCNC, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredNASCARCupSeriesAsHaasCNC Context triple: [Stewart-Haas Racing, enteredNASCARCupSeriesAsHaasCNC, 2002]
-
A.
NASCARCupStarts
Indicates the number of times an entity has started or participated in NASCAR Cup Series races.
-
B.
startedNASCARCupSeriesCareer
Indicates that an entity began their professional career in the NASCAR Cup Series.
-
C.
NASCARCupSeriesStarts
Indicates the number of times an entity has started or participated in NASCAR Cup Series races.
-
D.
madeNASCARNationwideDebut
Indicates that an entity participated in its first NASCAR Nationwide Series race.
-
E.
madeNASCARNationalSeriesDebut
Indicates that an entity participated in its first race in a NASCAR national series.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 28, 2026, 9:26 a.m.