Triple
T25622488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNC Charlotte 49ers men's basketball |
E642336
|
entity |
| Predicate | conferenceRegularSeasonChampion |
P42801
|
FINISHED |
| Object | Conference USA |
—
|
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: Conference USA | Statement: [UNC Charlotte 49ers men's basketball, conferenceRegularSeasonChampion, Conference USA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceRegularSeasonChampion Context triple: [UNC Charlotte 49ers men's basketball, conferenceRegularSeasonChampion, Conference USA]
-
A.
conferenceRegularSeasonChampionships
Indicates the number of times an entity has won its conference’s regular-season championship.
-
B.
conferenceRegularSeasonChampionship
chosen
Indicates that a team has won the conference’s regular-season championship in a given sport or league.
-
C.
seasonChampion
Indicates that an entity is the winner or champion of a particular season of a competition, league, or series.
-
D.
seasonChampionshipYear
Indicates the specific year in which a particular season’s championship took place or was awarded.
-
E.
championshipGameSeason
Indicates the specific sports season during which a particular championship game took place.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa2121f4819082c5135147a0f0d9 |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:05 p.m.