Triple
T30428951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Terrapins field hockey team |
E774105
|
entity |
| Predicate | NCAAdivisionSport |
P169426
|
FINISHED |
| Object | women’s field hockey |
—
|
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: women’s field hockey | Statement: [Maryland Terrapins field hockey team, NCAAdivisionSport, women’s field hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAdivisionSport Context triple: [Maryland Terrapins field hockey team, NCAAdivisionSport, women’s field hockey]
-
A.
NCAADivision
Indicates the competitive division within the NCAA in which an institution or team participates.
-
B.
typeOfNCAAInvolvement
Indicates the specific way or role in which an entity is involved with or participates in the NCAA.
-
C.
joinedNCAADivisionI
Indicates that an entity became a member of the NCAA Division I athletic classification.
-
D.
otherSportsDivision
Indicates that an entity competes in, belongs to, or is associated with a different sports division than another referenced entity.
-
E.
collegeSportsContext
Indicates a relationship, event, or situation that specifically occurs within or is shaped by the environment of college or university sports.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866aa9f88190b3e139fb374d6606 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:06 p.m.