Triple
T36267561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flint Village |
E892270
|
entity |
| Predicate | isOnCampusHousingFor |
P16150
|
FINISHED |
| Object | University at Buffalo |
—
|
NE NERFINISHED |
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: University at Buffalo | Statement: [Flint Village, isOnCampusHousingFor, University at Buffalo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnCampusHousingFor Context triple: [Flint Village, isOnCampusHousingFor, University at Buffalo]
-
A.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
-
B.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
C.
residentialCampus
chosen
Indicates that an educational institution’s campus includes on-site housing where students live as part of the campus community.
-
D.
hasStudentHousingNearby
Indicates that suitable student housing options are located close to the referenced entity.
-
E.
operatesOnCampus
Indicates that an organization or entity conducts its activities or business within the grounds or facilities of 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b62749848190a5c9cedfae0eb7d4 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.