Triple
T5085095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Gators football |
E114615
|
entity |
| Predicate | hasNationalChampionships |
P18665
|
FINISHED |
| Object | 3 (major poll-era consensus titles) |
—
|
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: 3 (major poll-era consensus titles) | Statement: [Florida Gators football, hasNationalChampionships, 3 (major poll-era consensus titles)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalChampionships Context triple: [Florida Gators football, hasNationalChampionships, 3 (major poll-era consensus titles)]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
nationalChampionshipTitle
chosen
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
C.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
D.
collegeTeamChampionships
Indicates the championships or titles that a college sports team has won.
-
E.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75192d188190a7631bce5faf7de3 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.