Triple

T16310022
Position Surface form Disambiguated ID Type / Status
Subject Taylor Tucky E396028 entity
Predicate usedInRegion P908 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: [Taylor Tucky, usedInRegion, Metro Detroit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Detroit
Context triple: [Taylor Tucky, usedInRegion, 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa517908190a29caa0156b1d1cd completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.