Triple
T36292975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Campus of the University at Buffalo |
E893280
|
entity |
| Predicate | publicInstitutionCampus |
P9357
|
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: [Downtown Campus of the University at Buffalo, publicInstitutionCampus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicInstitutionCampus Context triple: [Downtown Campus of the University at Buffalo, publicInstitutionCampus, true]
-
A.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
-
B.
isPublicInstitutionCampus
chosen
Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campusSector
Indicates that one location or facility is part of, or belongs to, a specific sector or zone within a campus.
-
E.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:09 p.m.