Triple
T22018572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanover, Indiana |
E543776
|
entity |
| Predicate | hasTypeOfCollege |
P30500
|
FINISHED |
| Object | private liberal arts college |
—
|
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: private liberal arts college | Statement: [Hanover, Indiana, hasTypeOfCollege, private liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCollege Context triple: [Hanover, Indiana, hasTypeOfCollege, private liberal arts college]
-
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.
hasCollegesType
Indicates that an entity is associated with or classified by a particular type or category of college.
-
C.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
D.
hasHigherEducationType
Indicates that one entity has a specified type or category of higher education associated with it.
-
E.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c5929881908458d07bd33c5edd |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:23 p.m.