Triple
T15480020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens County, Ohio |
E376890
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Buchtel, Ohio |
E510765
|
NE 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: Buchtel, Ohio | Statement: [Athens County, Ohio, contains, Buchtel, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buchtel, Ohio Context triple: [Athens County, Ohio, contains, Buchtel, Ohio]
-
A.
Buchtel
chosen
Buchtel is a small village in southeastern Ohio, historically known as a former coal-mining community within Athens County.
-
B.
Bowling Green, Ohio
Bowling Green, Ohio is a small city in northwest Ohio best known as the home of Bowling Green State University and its vibrant college-town community.
-
C.
Urbana, Ohio
Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield in southwestern Ohio.
-
D.
Pataskala, Ohio
Pataskala, Ohio is a small city in Licking County that serves as a growing residential community east of Columbus.
-
E.
University Heights, Ohio
University Heights, Ohio is a small suburban city in Cuyahoga County that forms part of the Greater Cleveland metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.