Triple
T19014814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II |
E465318
|
entity |
| Predicate | hasNumberOfSports |
P13801
|
FINISHED |
| Object | over 20 NCAA-sponsored sports |
—
|
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: over 20 NCAA-sponsored sports | Statement: [NCAA Division II, hasNumberOfSports, over 20 NCAA-sponsored sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSports Context triple: [NCAA Division II, hasNumberOfSports, over 20 NCAA-sponsored sports]
-
A.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
B.
sportsCount
chosen
Indicates the number of sports associated with or involved in a given entity or context.
-
C.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
-
D.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
E.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6d9f2a081908c0e923809da88e2 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.