Triple
T13194872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Logano |
E314085
|
entity |
| Predicate | winsNASCARCupSeries |
P90811
|
FINISHED |
| Object | multiple wins |
—
|
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: multiple wins | Statement: [Joey Logano, winsNASCARCupSeries, multiple wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winsNASCARCupSeries Context triple: [Joey Logano, winsNASCARCupSeries, multiple wins]
-
A.
NASCARCupSeriesWins
chosen
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
B.
NASCARCupSeriesChampionships
Indicates the number of NASCAR Cup Series championship titles an entity has won.
-
C.
NASCARCupSeriesChampionshipSeason
Indicates the relationship in which a NASCAR Cup Series season results in the determination of a series champion.
-
D.
NASCARChampionships
Indicates the number of NASCAR championships an entity has won or been awarded.
-
E.
NASCARCupSeriesBestPointsFinish
Indicates the highest (best) overall points standing a driver has ever achieved in the NASCAR Cup Series.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.