Triple
T30048109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Musical Arts |
E763515
|
entity |
| Predicate | isMusicSchoolOf |
P55412
|
FINISHED |
| Object | Bowling Green State University |
E210639
|
NE 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: Bowling Green State University | Statement: [College of Musical Arts, isMusicSchoolOf, Bowling Green State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMusicSchoolOf Context triple: [College of Musical Arts, isMusicSchoolOf, Bowling Green State University]
-
A.
hasMusicInstitution
chosen
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
B.
isSchoolFor
Indicates that one entity functions as an educational institution intended to serve, teach, or train the other entity.
-
C.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
-
D.
hasArtisticSchool
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
-
E.
choreographicSchool
Indicates that one entity is a school, tradition, or style of choreography associated with the other entity.
- F. None of above.
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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a13add0819085074f8cfcd1fe83 |
completed | May 2, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2863b623148190b528f97c302e0528 |
completed | June 9, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:54 p.m.