Triple

T13195099
Position Surface form Disambiguated ID Type / Status
Subject Ashland, Ohio E314091 entity
Predicate isCountySeatOf P383 FINISHED
Object Ashland County E577556 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: [Ashland, Ohio, isCountySeatOf, Ashland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashland County
Context triple: [Ashland, Ohio, isCountySeatOf, Ashland County]
  • A. Ashland County chosen
    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 rural county in the Eastern Panhandle of West Virginia, known for its mountainous terrain, outdoor recreation, and small-town communities.
  • D. 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.
  • E. Morgan County
    Morgan County is a county in central Indiana, United States, that forms part of the greater Indianapolis metropolitan 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3017bc8190b5481bf02684e861 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:16 p.m.