Triple
T35330881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaunt Brothers Racing |
E1020311
|
entity |
| Predicate | cupSeriesParticipation |
P104668
|
FINISHED |
| Object | part-time except 2020 |
—
|
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: part-time except 2020 | Statement: [Gaunt Brothers Racing, cupSeriesParticipation, part-time except 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupSeriesParticipation Context triple: [Gaunt Brothers Racing, cupSeriesParticipation, part-time except 2020]
-
A.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
B.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
-
C.
leagueParticipations
chosen
Indicates participation relationships where an entity takes part in one or more leagues or league seasons.
-
D.
tournamentAppearances
Indicates the number of times an entity has participated in a particular tournament or competition.
-
E.
teamSeasonParticipated
Indicates that a team took part in a particular sports season.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.