Triple

T11142774
Position Surface form Disambiguated ID Type / Status
Subject Dearborn Heights, Michigan E263595 entity
Predicate partOf P40 FINISHED
Object Metro Detroit E79668 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: Metro Detroit | Statement: [Dearborn Heights, Michigan, partOf, Metro Detroit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Detroit
Context triple: [Dearborn Heights, Michigan, partOf, Metro Detroit]
  • A. Metro Detroit chosen
    Metro Detroit is a major metropolitan area in southeastern Michigan centered on the city of Detroit, known for its automotive industry, manufacturing base, and cultural institutions.
  • B. Downtown Detroit
    Downtown Detroit is the central business district and cultural core of Detroit, Michigan, known for its skyscrapers, sports arenas, theaters, and revitalized riverfront.
  • C. Downriver Detroit
    Downriver Detroit is a suburban industrial and residential region south of Detroit along the Detroit River, encompassing several working-class communities.
  • D. Midtown Detroit
    Midtown Detroit is a central cultural and educational district in Detroit, Michigan, known for its museums, universities, and historic architecture.
  • E. Detroiters
    Detroiters is an American comedy television series that follows two inept but enthusiastic best friends running a small advertising agency in Detroit.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e44215513481908909ce4289aabca6 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.