Triple
T21275835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gambier, Ohio |
E524384
|
entity |
| Predicate | hasCollegeTownIdentity |
P27837
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gambier, Ohio, hasCollegeTownIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeTownIdentity Context triple: [Gambier, Ohio, hasCollegeTownIdentity, true]
-
A.
hasCollegeTown
chosen
Indicates that a college or university is associated with, or located in, a particular town that serves as its college town.
-
B.
isCollegeTownOf
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
-
C.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
D.
hasUniversityCityReputation
Indicates that a university holds a particular reputation or standing within a specific city.
-
E.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.