Triple
T1683805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIAU |
E36396
|
entity |
| Predicate | governedSportLevel |
P1906
|
FINISHED |
| Object | university |
—
|
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: university | Statement: [CIAU, governedSportLevel, university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedSportLevel Context triple: [CIAU, governedSportLevel, university]
-
A.
representsSportLevel
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
-
B.
athleticAssociationTier
chosen
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
C.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
D.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
E.
championshipLevel
Indicates the competitive tier or division in which a championship or title contest is held.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.