Triple
T13270016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002–03 NCAA Division I men's basketball season |
E316029
|
entity |
| Predicate | numberOfDivisionITeams |
P109243
|
FINISHED |
| Object | over 300 |
—
|
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 300 | Statement: [2002–03 NCAA Division I men's basketball season, numberOfDivisionITeams, over 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDivisionITeams Context triple: [2002–03 NCAA Division I men's basketball season, numberOfDivisionITeams, over 300]
-
A.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
B.
numberOfOpenDivisionTeamsEntered
Indicates the quantity of teams that have been entered into an open division.
-
C.
teamsPerDivision
Indicates the number of teams that are associated with or belong to each division.
-
D.
numberOfDivisionOneLeagues
Indicates the total count of Division One leagues associated with a given entity.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- F. None of above. chosen
Provenance (4 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.