Triple
T37816066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Canyon University men’s basketball team |
E942778
|
entity |
| Predicate | firstDivisionISeason |
P16070
|
FINISHED |
| Object | 2013–14 |
—
|
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: 2013–14 | Statement: [Grand Canyon University men’s basketball team, firstDivisionISeason, 2013–14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDivisionISeason Context triple: [Grand Canyon University men’s basketball team, firstDivisionISeason, 2013–14]
-
A.
firstDivisionIChampionshipYear
Indicates the calendar year in which an entity won its first Division I championship.
-
B.
firstDivisionNumber
Indicates the numerical identifier assigned to the first division in an ordered sequence of divisions.
-
C.
firstLeagueTitleSeason
Indicates the season in which an entity (typically a sports team) won its first league title.
-
D.
numberOfDivisionOneLeagues
Indicates the total count of Division One leagues associated with a given entity.
-
E.
firstTeam1Season
chosen
Indicates that a team is participating in its first season within a particular league or competition.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.