Triple

T12730383
Position Surface form Disambiguated ID Type / Status
Subject Fordson, Michigan E304219 entity
Predicate region P40 FINISHED
Object Wayne County E25229 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: Wayne County | Statement: [Fordson, Michigan, region, Wayne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne County
Context triple: [Fordson, Michigan, region, Wayne County]
  • A. Wayne County chosen
    Wayne County is a populous county in southeastern Michigan that includes the city of Detroit and serves as a major industrial and cultural hub of the state.
  • B. Wayne County
    Wayne County is a county in western New York State, situated along the southern shore of Lake Ontario and known for its agricultural production and small rural communities.
  • C. Wayne County
    Wayne County is a county located in the state of Ohio in the United States, known for its mix of agricultural communities, small towns, and the city of Wooster as its county seat.
  • D. Wayne County
    Wayne County is a county in northeastern Pennsylvania known for its rural landscapes, small towns, and location within the Pocono Mountains region.
  • E. Wayne County
    Wayne County is a county-level jurisdiction in the U.S. state of North Carolina, known for its mix of rural communities, small towns, and agricultural activity.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:25 p.m.