Triple
T30480240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnson, Vermont |
E775561
|
entity |
| Predicate | previousCampusName |
P138601
|
FINISHED |
| Object | Johnson State College |
—
|
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: Johnson State College | Statement: [Johnson, Vermont, previousCampusName, Johnson State College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousCampusName Context triple: [Johnson, Vermont, previousCampusName, Johnson State College]
-
A.
formerCampus
Indicates that an entity was once located on or associated with a particular campus, but is no longer based there.
-
B.
campusName
Indicates the official name assigned to a particular campus.
-
C.
formerUniversityName
chosen
Indicates that an institution previously had a different official university name than the one it currently holds.
-
D.
previousSchoolSite
Indicates that one entity is the location or campus where another entity (typically a person or institution) was previously based or attended before moving to a new school site.
-
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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 29, 2026, 8:12 p.m.