Triple
T9016799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cohen Quad |
E215612
|
entity |
| Predicate | isTeachingSite |
P62959
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cohen Quad, isTeachingSite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTeachingSite Context triple: [Cohen Quad, isTeachingSite, true]
-
A.
servesAsTeachingSiteFor
chosen
Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
-
B.
isTeachingHospitalFor
Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
-
C.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
-
D.
hasTeachingRole
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
E.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fd2a888190a20bf18cd226a180 |
completed | April 1, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.