Triple
T21106340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Ridgeville, Ohio |
E520053
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Sheffield, 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: Sheffield, Ohio | Statement: [North Ridgeville, Ohio, adjacentTo, Sheffield, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheffield, Ohio Context triple: [North Ridgeville, Ohio, adjacentTo, Sheffield, Ohio]
-
A.
Sheffield, Ohio
chosen
Sheffield, Ohio is a village in Lorain County, Ohio, that forms part of the western suburbs of the Cleveland metropolitan area.
-
B.
Shelby, Ohio
Shelby, Ohio is a small city in north-central Ohio known historically for its manufacturing industry and community-oriented small-town character.
-
C.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
D.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
E.
Springdale, Ohio
Springdale, Ohio is a suburban city in southwestern Ohio that forms part of the Cincinnati metropolitan area.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b62301c819082cfc6cb3cd11c8c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.