Triple
T4967496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Texas Mean Green |
E111561
|
entity |
| Predicate | conferenceFootballChampionships |
P49423
|
FINISHED |
| Object | multiple Conference USA 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: multiple Conference USA titles | Statement: [North Texas Mean Green, conferenceFootballChampionships, multiple Conference USA titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceFootballChampionships Context triple: [North Texas Mean Green, conferenceFootballChampionships, multiple Conference USA titles]
-
A.
conferenceChampionshipsInFootball
chosen
Indicates the number of conference championship titles a team has won in football.
-
B.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
C.
championshipLeague
Indicates that an entity is a championship-level competition or league in which teams or individuals compete for a title.
-
D.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
-
E.
fifaConfederation
Indicates the regional football governing confederation with which an entity (typically a national team or association) is officially affiliated.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.