Triple
T19203213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvania Township, Ohio |
E480160
|
entity |
| Predicate | hasNeighboringJurisdiction |
P76631
|
FINISHED |
| Object | Berkey, 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: Berkey, Ohio | Statement: [Sylvania Township, Ohio, hasNeighboringJurisdiction, Berkey, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkey, Ohio Context triple: [Sylvania Township, Ohio, hasNeighboringJurisdiction, Berkey, Ohio]
-
A.
Berkey, Ohio
chosen
Berkey, Ohio is a small village in northwestern Ohio known for its rural residential character within the Toledo metropolitan area.
-
B.
Bergholz, Ohio
Bergholz, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
-
C.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
-
D.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
E.
Beaver, Ohio
Beaver, Ohio is a small village located in Pike County in the southern part of the U.S. state of Ohio.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99a571c8190a1d53eb1994e0058 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:13 p.m.