Triple

T191780
Position Surface form Disambiguated ID Type / Status
Subject Rust Belt E3736 entity
Predicate hasMajorCity P316 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: [Rust Belt, hasMajorCity, Detroit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detroit
Context triple: [Rust Belt, hasMajorCity, 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. 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.
  • C. 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.
  • D. Flint, Michigan
    Flint, Michigan is an industrial city in the United States best known as the birthplace of General Motors and for its central role in the American automotive industry.
  • E. Lansing, Michigan
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a259669ba08190a5be1d2e10e70b27 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3232d589081909a56c0ef7349c59e completed Feb. 28, 2026, 5:17 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.