Triple
T10190474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Veterinary Medicine |
E238017
|
entity |
| Predicate | regulatesAdmission |
P53898
|
FINISHED |
| Object | competitive admission process |
—
|
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: competitive admission process | Statement: [College of Veterinary Medicine, regulatesAdmission, competitive admission process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesAdmission Context triple: [College of Veterinary Medicine, regulatesAdmission, competitive admission process]
-
A.
controlsAdmissionsFor
chosen
Indicates that one entity has authority or responsibility over managing and deciding admissions for another entity.
-
B.
hasAdmission
Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
-
C.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
D.
admissionRequired
Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
-
E.
barAdmission
Indicates that a legal professional has been formally admitted to practice law before a particular bar or court.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7d6fdc81908052866495b6574f |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.