Triple
T37473109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Bears gymnastics |
E931203
|
entity |
| Predicate | representsInGymnastics |
P17899
|
FINISHED |
| Object | Brown University |
—
|
NE NERFINISHED |
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: Brown University | Statement: [Brown Bears gymnastics, representsInGymnastics, Brown University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInGymnastics Context triple: [Brown Bears gymnastics, representsInGymnastics, Brown University]
-
A.
representsInSport
chosen
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
B.
gymnasticsApparatusSpecialty
Indicates that an entity specializes in or is particularly skilled at using a specific gymnastics apparatus.
-
C.
gymnasticsArena
Indicates that one entity serves as a gymnastics arena or venue where gymnastics activities, events, or competitions take place in relation to another entity.
-
D.
gymnasticsStar
Indicates that one entity is recognized as an outstanding or star performer in gymnastics.
-
E.
capacityGymnastics
Indicates that an entity has the ability or suitability to perform or engage in gymnastics.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:17 p.m.