Triple
T18384506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celina micropolitan area |
E446545
|
entity |
| Predicate | principalCity |
P3940
|
FINISHED |
| Object | Celina, 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: Celina, Ohio | Statement: [Celina micropolitan area, principalCity, Celina, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celina, Ohio Context triple: [Celina micropolitan area, principalCity, Celina, Ohio]
-
A.
Celina, Ohio
chosen
Celina, Ohio is a small city in western Ohio that serves as the county seat of Mercer County and a regional hub near Grand Lake St. Marys.
-
B.
Helena, Ohio
Helena, Ohio is a small unincorporated community located in Sandusky County in northwestern Ohio.
-
C.
Carlisle, Ohio
Carlisle, Ohio is a small village in Warren and Montgomery counties known as a suburban community within the Dayton metropolitan area in southwestern Ohio.
-
D.
Shreve, Ohio
Shreve, Ohio is a small village in Wayne County known for its proximity to the Killbuck Marsh wildlife area and its rural community character.
-
E.
Campbell, Ohio
Campbell, Ohio is a small industrial city in northeastern Ohio that forms part of the Youngstown 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.