Triple
T37620274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 BCS National Championship |
E936047
|
entity |
| Predicate | FloridaStateNationalTitleCountAfterGame |
P66087
|
FINISHED |
| Object | 3 |
—
|
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 | Statement: [2013 BCS National Championship, FloridaStateNationalTitleCountAfterGame, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FloridaStateNationalTitleCountAfterGame Context triple: [2013 BCS National Championship, FloridaStateNationalTitleCountAfterGame, 3]
-
A.
winningTeamSuperBowlTitlesAfterGame
Indicates the number of Super Bowl titles a team has won after a specific game has been played.
-
B.
nationalTitleGameState
Indicates that an entity is participating in, associated with, or relevant to the national championship title game within a given state or game context.
-
C.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
D.
superBowlTitleCount
Indicates the number of Super Bowl championships an entity has won.
-
E.
numberOfNationalChampionships
chosen
Indicates the total count of national championship titles an entity has won.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.