Triple
T1969053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethany, West Virginia |
E42754
|
entity |
| Predicate | hasPostSecondaryInstitutionType |
P30500
|
FINISHED |
| Object | liberal arts college town |
—
|
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: liberal arts college town | Statement: [Bethany, West Virginia, hasPostSecondaryInstitutionType, liberal arts college town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostSecondaryInstitutionType Context triple: [Bethany, West Virginia, hasPostSecondaryInstitutionType, liberal arts college town]
-
A.
hasCollegeType
chosen
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
B.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
E.
hasCollegeSystem
Indicates that an entity operates under, is organized by, or is associated with a particular college or higher-education institutional system.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d05cb88190963039d643bb6637 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.