Triple
T17985432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Bayne |
E430217
|
entity |
| Predicate | seriesChampionships |
P130015
|
FINISHED |
| Object | 0 in NASCAR Cup Series (as of 2024) |
—
|
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: 0 in NASCAR Cup Series (as of 2024) | Statement: [Trevor Bayne, seriesChampionships, 0 in NASCAR Cup Series (as of 2024)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesChampionships Context triple: [Trevor Bayne, seriesChampionships, 0 in NASCAR Cup Series (as of 2024)]
-
A.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
B.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
C.
championshipSeasons
Indicates the seasons or years during which an entity won a championship title.
-
D.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
-
E.
constructorsChampionships
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29a27b081909a128a6b978eabf8 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.