Triple
T34398469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas State Red Wolves |
E882901
|
entity |
| Predicate | footballTitle |
P130005
|
FINISHED |
| Object | multiple Sun Belt 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 Sun Belt Conference championships | Statement: [Arkansas State Red Wolves, footballTitle, multiple Sun Belt Conference championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballTitle Context triple: [Arkansas State Red Wolves, footballTitle, multiple Sun Belt Conference championships]
-
A.
sportingTitle
chosen
Indicates that one entity holds or is identified by a specific sports-related rank, honor, or championship title in relation to another entity.
-
B.
titleLeague
Indicates the league or competition title associated with an entity, such as a team, season, or event.
-
C.
nationalTitleGame
Indicates that an entity participates in or is associated with a national championship title game.
-
D.
domesticLeagueTitle
Indicates that an entity has won a championship title in its primary national (domestic) league competition.
-
E.
superBowlTitle
Indicates that one entity is the winner (holder) of a specified Super Bowl championship title.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:59 a.m.