Triple
T19747200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hills and Dales, Ohio |
E474281
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Stark County |
—
|
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: Stark County | Statement: [Hills and Dales, Ohio, county, Stark County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stark County Context triple: [Hills and Dales, Ohio, county, Stark County]
-
A.
Stark County
chosen
Stark County is a county in northeastern Ohio known for its seat in Canton and its role in the region’s industrial and political history.
-
B.
Stark County
Stark County is a county in southwestern North Dakota known for its seat in Dickinson and its role as a regional hub for agriculture, energy, and transportation.
-
C.
Pike County
Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
-
D.
Pike County
Pike County is a rural county in southwestern Indiana known for its agricultural landscape, small communities, and proximity to coal mining and outdoor recreation areas.
-
E.
Pike County
Pike County is a rural county in northeastern Pennsylvania known for its forests, rivers, and location along the Delaware River near the New York and New Jersey borders.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65294b4008190818eda40630f4147 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.