Triple
T1222349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstown |
E26250
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Mahoning County |
E119860
|
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: Mahoning County | Statement: [Youngstown, county, Mahoning County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahoning County Context triple: [Youngstown, county, Mahoning County]
-
A.
Mahoning County, Ohio
chosen
Mahoning County, Ohio is a county in northeastern Ohio known for its county seat of Youngstown and its historical role in the American steel industry.
-
B.
Allegheny County
Allegheny County is a populous county in western Pennsylvania that includes the city of Pittsburgh as its seat and economic center.
-
C.
Lorain County
Lorain County is a county in northern Ohio along Lake Erie, known for its mix of industrial cities, suburban communities, and rural areas west of Cleveland.
-
D.
Stark County, Ohio
Stark County, Ohio is a county in northeastern Ohio known for its county seat of Canton, Pro Football Hall of Fame, and historical and cultural attractions.
-
E.
Columbiana County, Ohio
Columbiana County, Ohio is a county in northeastern Ohio known for its mix of small industrial cities and rural communities, with a history tied to manufacturing and the Ohio River region.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be21a2bc819094b47580d7c5cdf8 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f71aaa481909736d21705744341 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:47 p.m.