Triple

T1276760
Position Surface form Disambiguated ID Type / Status
Subject Miami Valley E27231 entity
Predicate hasCounty P285 FINISHED
Object Clark County, Ohio E24988 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: Clark County, Ohio | Statement: [Miami Valley, hasCounty, Clark County, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County, Ohio
Context triple: [Miami Valley, hasCounty, Clark County, Ohio]
  • A. Clark County, Ohio chosen
    Clark County, Ohio is a county in western Ohio whose seat and largest city is Springfield.
  • B. Miami County, Ohio
    Miami County, Ohio is a county in western Ohio known for its mix of small cities and rural communities within the greater Dayton–Miami Valley region.
  • C. Franklin County, Ohio
    Franklin County, Ohio is a populous central Ohio county that includes and is administratively centered on the state capital, Columbus.
  • D. Fairfield County, Ohio
    Fairfield County, Ohio is a county in central Ohio known for its seat in Lancaster, its proximity to Columbus, and a mix of suburban communities and rural landscapes.
  • E. Montgomery County, Ohio
    Montgomery County, Ohio is an urban county in southwestern Ohio centered on the city of Dayton and known for its historical role in aviation, manufacturing, and innovation in the Miami Valley 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0907f6081908df15679227341b5 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61df4b48190aa142f30026e6580 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:50 p.m.