Triple
T10699977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Ohio |
E252247
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Celina, Ohio |
E688638
|
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: Celina, Ohio | Statement: [Western Ohio, containsCity, Celina, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celina, Ohio Context triple: [Western Ohio, containsCity, 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.
Campbell, Ohio
Campbell, Ohio is a small industrial city in northeastern Ohio that forms part of the Youngstown metropolitan area.
-
E.
Lindsey, Ohio
Lindsey, Ohio is a small rural community located in Sandusky County in northwestern Ohio.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef311c4819094b6b08a62d3afb3 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:12 p.m.