Triple
T32125524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaffer Conservatory |
E820489
|
entity |
| Predicate | portraysTypeOfInstitution |
P104067
|
FINISHED |
| Object | conservatory of music |
—
|
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: conservatory of music | Statement: [Shaffer Conservatory, portraysTypeOfInstitution, conservatory of music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysTypeOfInstitution Context triple: [Shaffer Conservatory, portraysTypeOfInstitution, conservatory of music]
-
A.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
depictsInstitution
Indicates that one entity visually represents or portrays an institution as its subject.
-
C.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
D.
representsEducationalInstitutionType
chosen
Indicates that an entity is associated with or classified by a specific type or category of educational institution.
-
E.
coversInstitutionType
Indicates that one entity includes or applies to a particular type or category of institution.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 1, 2026, 12:29 a.m.