Triple
T17985446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Bayne |
E430217
|
entity |
| Predicate | NASCARXfinityWins |
P105796
|
FINISHED |
| Object | multiple race wins with Roush Fenway Racing |
—
|
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 race wins with Roush Fenway Racing | Statement: [Trevor Bayne, NASCARXfinityWins, multiple race wins with Roush Fenway Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NASCARXfinityWins Context triple: [Trevor Bayne, NASCARXfinityWins, multiple race wins with Roush Fenway Racing]
-
A.
NASCARXfinitySeriesWins
chosen
Indicates the number of races a driver has won in the NASCAR Xfinity Series.
-
B.
NASCARXfinitySeriesChampionships
Indicates the number of NASCAR Xfinity Series championship titles an entity has won.
-
C.
NASCARCupSeriesWins
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
D.
NASCARXfinitySeriesPoles
Indicates that one entity has achieved pole position(s) in NASCAR Xfinity Series races associated with another entity (such as a driver, team, or event).
-
E.
NASCARTruckSeriesWins
Indicates the number of race victories an entity has achieved in NASCAR Truck Series competitions.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.