Triple
T31074056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon, Vermont |
E791901
|
entity |
| Predicate | previousEducationalInstitutionName |
P23183
|
FINISHED |
| Object | Lyndon 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: Lyndon State College | Statement: [Lyndon, Vermont, previousEducationalInstitutionName, Lyndon State College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousEducationalInstitutionName Context triple: [Lyndon, Vermont, previousEducationalInstitutionName, Lyndon State College]
-
A.
formerlyHadEducationalInstitution
Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
-
B.
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.
-
C.
educationalInstitutionServed
Indicates that one entity provides services, support, or resources to a particular educational institution.
-
D.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
E.
schoolAttended
chosen
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 29, 2026, 9:01 p.m.