Triple
T15480014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens County, Ohio |
E376890
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chauncey, 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: Chauncey, Ohio | Statement: [Athens County, Ohio, contains, Chauncey, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauncey, Ohio Context triple: [Athens County, Ohio, contains, Chauncey, Ohio]
-
A.
Chauncey, Ohio
chosen
Chauncey, Ohio is a small village in Athens County known for its location in southeastern Ohio’s coal-mining region and its proximity to the city of Athens.
-
B.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
Ney, Ohio
Ney, Ohio is a small village located in Defiance County in the northwestern part of the U.S. state of Ohio.
-
E.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
Created at: April 10, 2026, 3:34 a.m.