Triple
T38080086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia vs. Auburn football rivalry |
E950827
|
entity |
| Predicate | stateOfAuburnTeam |
P199118
|
FINISHED |
| Object | Alabama |
—
|
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: Alabama | Statement: [Georgia vs. Auburn football rivalry, stateOfAuburnTeam, Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfAuburnTeam Context triple: [Georgia vs. Auburn football rivalry, stateOfAuburnTeam, Alabama]
-
A.
homeStadiumAuburn
Indicates that the referenced stadium serves as the home venue for the Auburn team or organization.
-
B.
stateOfAmericanLeagueTeam
Indicates the U.S. state in which an American League baseball team is based or located.
-
C.
nflTeamState
Indicates the U.S. state in which an NFL team is based or associated.
-
D.
BCSRankingOfAuburnBeforeGame
Indicates the position Auburn held in the BCS rankings prior to a specific game.
-
E.
AuburnRecordBeforeGame
Indicates that the predicate relates to Auburn’s performance record (such as wins and losses) as it stood prior to a specific game.
- F. None of above. chosen
Provenance (4 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
| PDg | Predicate description generation | batch_69ff1f3ee3588190a857d1504c93be8b |
completed | May 9, 2026, 11:49 a.m. |
Created at: May 3, 2026, 4:21 p.m.