Triple
T13194874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Logano |
E314085
|
entity |
| Predicate | winsNASCARTruckSeries |
P105797
|
FINISHED |
| Object | race winner |
—
|
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: race winner | Statement: [Joey Logano, winsNASCARTruckSeries, race winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winsNASCARTruckSeries Context triple: [Joey Logano, winsNASCARTruckSeries, race winner]
-
A.
NASCARTruckSeriesWins
chosen
Indicates the number of race victories an entity has achieved in NASCAR Truck Series competitions.
-
B.
NASCARTruckSeriesChampion
Indicates that an entity is the driver who won the season championship in the NASCAR Truck Series for a given year.
-
C.
NASCARCupSeriesWins
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
D.
NASCARCupSeriesChampionships
Indicates the number of NASCAR Cup Series championship titles an entity has won.
-
E.
NASCARChampionships
Indicates the number of NASCAR championships an entity has won or been awarded.
- 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.