Triple
T19237462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Geneseo |
E481035
|
entity |
| Predicate | campusInfluence |
P135297
|
FINISHED |
| Object | local economy shaped by SUNY Geneseo |
—
|
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: local economy shaped by SUNY Geneseo | Statement: [Village of Geneseo, campusInfluence, local economy shaped by SUNY Geneseo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusInfluence Context triple: [Village of Geneseo, campusInfluence, local economy shaped by SUNY Geneseo]
-
A.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
B.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
C.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
D.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
-
E.
cityCampus
Indicates that a campus is located within or associated with a particular city.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:26 p.m.