Triple
T23013361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USF Pro 2000 Championship |
E572963
|
entity |
| Predicate | championshipTitles |
P7452
|
FINISHED |
| Object | drivers championship |
—
|
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: drivers championship | Statement: [USF Pro 2000 Championship, championshipTitles, drivers championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipTitles Context triple: [USF Pro 2000 Championship, championshipTitles, drivers championship]
-
A.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
B.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
C.
championshipRecognition
chosen
Indicates formal acknowledgment that an entity has won or holds a championship title in a given competition or domain.
-
D.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
E.
championshipsHelpedWin
Indicates that one entity contributed to another entity winning one or more championships.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.