Triple

T7630195
Position Surface form Disambiguated ID Type / Status
Subject Loudonville, Ohio E172739 entity
Predicate county P75 FINISHED
Object Ashland County E289284 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: Ashland County | Statement: [Loudonville, Ohio, county, Ashland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashland County
Context triple: [Loudonville, Ohio, county, Ashland County]
  • A. Ashland County
    Ashland County is a largely rural county in north-central Ohio known for its agricultural landscape, small towns, and the city of Ashland as its county seat.
  • B. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • C. Morgan County
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • D. Morgan County
    Morgan County is a rural county in northern Utah known for its mountainous terrain, outdoor recreation, and small-town communities northeast of Salt Lake City.
  • E. Ashland County, Ohio chosen
    Ashland County, Ohio is a predominantly rural county in north-central Ohio known for its agricultural landscape, small communities, and county seat of Ashland.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa85c57c8190acfd33e0c890c2f9 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870b3984c8190b16a49415556a27d completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:56 p.m.