Triple
T21701253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami RedHawks |
E535661
|
entity |
| Predicate | conferenceTitlesInFootball |
P49423
|
FINISHED |
| Object | multiple Mid-American Conference championships |
—
|
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: multiple Mid-American Conference championships | Statement: [Miami RedHawks, conferenceTitlesInFootball, multiple Mid-American Conference championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceTitlesInFootball Context triple: [Miami RedHawks, conferenceTitlesInFootball, multiple Mid-American Conference championships]
-
A.
conferenceTitlesInSport
Indicates that the subject has won or holds conference titles within a particular sport.
-
B.
conferenceChampionshipsInFootball
chosen
Indicates the number of conference championship titles a team has won in football.
-
C.
conferenceTitles
Indicates a relationship where one entity (such as a conference event or series) is associated with the titles under which it is or has been held.
-
D.
conferenceTournamentTitles
Indicates the number of conference tournament championships an entity has won.
-
E.
conferenceTitlesNBA
Indicates that an NBA team has won a specified number of conference championship titles.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b802e008190a68ec62b98512794 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.