Triple

T3739711
Position Surface form Disambiguated ID Type / Status
Subject Metro Detroit E79668 entity
Predicate includesCounty P5971 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: [Metro Detroit, includesCounty, Wayne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne County
Context triple: [Metro Detroit, includesCounty, 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 southeastern Georgia known for its rural communities, forestry, and transportation routes connecting coastal and inland parts of the state.
  • E. Madison County
    Madison County is a county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768163948190abd1075a20e4706d completed March 14, 2026, 2:53 p.m.
Created at: March 8, 2026, 3:34 p.m.