Triple

T4313059
Position Surface form Disambiguated ID Type / Status
Subject Detroit Institute of Arts E94118 entity
Predicate serves P98 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: [Detroit Institute of Arts, serves, Wayne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne County
Context triple: [Detroit Institute of Arts, serves, 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 in southeastern Georgia known for its rural communities, forestry, and transportation routes connecting coastal and inland parts of the state.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d8bff88190bcf7dd419d5f4312 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:12 p.m.