Triple
T19237450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Geneseo |
E481035
|
entity |
| Predicate | campusRelationship |
P269
|
FINISHED |
| Object | SUNY Geneseo campus integrated into village |
—
|
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: SUNY Geneseo campus integrated into village | Statement: [Village of Geneseo, campusRelationship, SUNY Geneseo campus integrated into village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusRelationship Context triple: [Village of Geneseo, campusRelationship, SUNY Geneseo campus integrated into village]
-
A.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
-
B.
campus
chosen
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
C.
campusOrganization
Indicates that one entity is an organization that operates within, is based at, or is formally affiliated with a particular campus.
-
D.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
-
E.
stateCampus
Indicates that a campus is part of, located within, or administered by a particular state.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faee7324819090a4c56147cb0bf5 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.