Triple
T19751379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinsman Free Public Library |
E474381
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kinsman, Ohio |
—
|
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: Kinsman, Ohio | Statement: [Kinsman Free Public Library, locatedIn, Kinsman, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinsman, Ohio Context triple: [Kinsman Free Public Library, locatedIn, Kinsman, Ohio]
-
A.
Kinsman, Ohio
chosen
Kinsman, Ohio is a small unincorporated community in northeastern Ohio known primarily as the birthplace of famed defense attorney Clarence Darrow.
-
B.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
C.
Richwood, Ohio
Richwood, Ohio is a small village in Union County known as the birthplace of pioneering acoustical physicist Wallace Clement Sabine.
-
D.
Bergholz, Ohio
Bergholz, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
-
E.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65299a7048190a9b22307ac06bd03 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.