Triple
T15480017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens County, Ohio |
E376890
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Glouster, 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: Glouster, Ohio | Statement: [Athens County, Ohio, contains, Glouster, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glouster, Ohio Context triple: [Athens County, Ohio, contains, Glouster, Ohio]
-
A.
Glouster, Ohio
chosen
Glouster, Ohio is a small village in Athens County known historically as a coal-mining community in the Appalachian region of southeastern Ohio.
-
B.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
C.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
D.
Ruggles, Ohio
Ruggles, Ohio is a small unincorporated community located in rural Huron County in the U.S. state of Ohio.
-
E.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
- 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.