Triple
T35564097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NASCAR Cup Series Championship Race at Phoenix Raceway |
E1027719
|
entity |
| Predicate | resultingChampionTeam |
P2624
|
FINISHED |
| Object | Team Penske |
—
|
NE NERFINISHED |
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: Team Penske | Statement: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, resultingChampionTeam, Team Penske]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingChampionTeam Context triple: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, resultingChampionTeam, Team Penske]
-
A.
winningTeam
chosen
Indicates which team is the victor in a given competition, game, or contest.
-
B.
divisionWinnerTeam2
Indicates that the second team is the winner of its division in a competition or league.
-
C.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
-
D.
subsequentChampion
Indicates that one entity became the champion in a competition or context after another entity had previously held the champion title.
-
E.
nicknameOfWinningTeam
Indicates that one entity is the nickname used to refer to the team that won a particular competition or event.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:04 p.m.