Triple
T28991415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart-Haas Racing |
E736033
|
entity |
| Predicate | wonCupSeriesChampionship |
P105114
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Stewart-Haas Racing, wonCupSeriesChampionship, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonCupSeriesChampionship Context triple: [Stewart-Haas Racing, wonCupSeriesChampionship, 2011]
-
A.
wonChampionshipInSeries
chosen
Indicates that an entity secured a championship title during a specified series or sequence of competitive events.
-
B.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
C.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
-
D.
officiatedLeagueChampionshipSeries
Indicates that an entity served as the official (e.g., referee or umpire) in charge of overseeing a league’s championship series.
-
E.
wonNationalCup
Indicates that an entity has achieved victory in a national-level cup competition or tournament.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:26 a.m.