Triple
T11453325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Ohio |
E271457
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Belmont County |
E688765
|
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: Belmont County | Statement: [Eastern Ohio, contains, Belmont County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmont County Context triple: [Eastern Ohio, contains, Belmont County]
-
A.
Belmont County
chosen
Belmont County is a county in eastern Ohio, United States, located along the Ohio River and known for its mix of small industrial cities and rural communities.
-
B.
Boyle County
Boyle County is a county in central Kentucky known as the site of the pivotal Civil War Battle of Perryville.
-
C.
Barbour County
Barbour County is a largely rural county in southeastern Alabama known for its agricultural economy, historic towns like Eufaula, and significant antebellum architecture.
-
D.
Fayette County
Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh metropolitan area.
-
E.
Fayette County
Fayette County is a rural county in western Alabama known for its small-town communities and agricultural and forestry-based economy.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7800ca881909c1816a74b3b8f19 |
completed | April 21, 2026, 2:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.