Triple
T15617129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castleton, Vermont |
E375443
|
entity |
| Predicate | isCollegeCommunityFor |
P26026
|
FINISHED |
| Object | Castleton University students |
—
|
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: Castleton University students | Statement: [Castleton, Vermont, isCollegeCommunityFor, Castleton University students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollegeCommunityFor Context triple: [Castleton, Vermont, isCollegeCommunityFor, Castleton University students]
-
A.
isPrimaryUndergraduateCollegeFor
Indicates that one institution serves as the main undergraduate college or school for a given entity (such as a university or student population).
-
B.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
C.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
D.
hasCollegeCampus
chosen
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
-
E.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.