Triple

T14240706
Position Surface form Disambiguated ID Type / Status
Subject Oakland Township, Michigan E352995 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: [Oakland Township, Michigan, partOf, Metro Detroit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Detroit
Context triple: [Oakland Township, 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282183308190b63172972773b3c2 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.