Triple
T9958449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Black Bears |
E195502
|
entity |
| Predicate | varsitySportsCount |
P2437
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Maine Black Bears, varsitySportsCount, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: varsitySportsCount Context triple: [Maine Black Bears, varsitySportsCount, 17]
-
A.
numberOfSports
chosen
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
B.
governsNumberOfVarsityTeams
Indicates that one entity has authority over or control of how many varsity teams another entity has.
-
C.
hasNumberOfStudentAthletes
Indicates the relationship that specifies how many student athletes are associated with a given entity.
-
D.
typeOfNCAAInvolvement
Indicates the specific way or role in which an entity is involved with or participates in the NCAA.
-
E.
isIntercollegiate
Indicates that an activity, competition, or relationship occurs between different colleges or universities rather than within a single institution.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cec7dc8190bb7e43c82a317707 |
completed | April 2, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:46 p.m.