Triple

T763481
Position Surface form Disambiguated ID Type / Status
Subject NFC North E16121 entity
Predicate teamCity P7424 FINISHED
Object Detroit E2603 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: Detroit | Statement: [NFC North, teamCity, Detroit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detroit
Context triple: [NFC North, teamCity, Detroit]
  • A. Detroit chosen
    Detroit is a major U.S. city in Michigan known historically as the center of the American automotive industry and for its influential contributions to music, particularly Motown.
  • B. Dearborn
    Dearborn is a city in the Detroit metropolitan area best known as the longtime headquarters of the Ford Motor Company and a historic center of the American automotive industry.
  • C. Jackson, Michigan
    Jackson, Michigan is a mid-sized city in south-central Michigan historically notable as the birthplace of the Republican Party in the 1850s.
  • D. Grand Rapids, Michigan
    Grand Rapids, Michigan is a mid-sized city in western Michigan known for its strong Dutch-American heritage, vibrant arts scene, and historic furniture manufacturing industry.
  • E. 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.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0132cd6081908d70112213343063 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:37 p.m.