Triple

T3109385
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Eastern Michigan E64912 entity
Predicate episcopalSee P2276 FINISHED
Object Flint, Michigan E10580 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: Flint, Michigan | Statement: [Diocese of Eastern Michigan, episcopalSee, Flint, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flint, Michigan
Context triple: [Diocese of Eastern Michigan, episcopalSee, Flint, Michigan]
  • A. Flint, Michigan chosen
    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.
  • B. Wyandotte, Michigan
    Wyandotte, Michigan is a small industrial city and Downriver suburb of Detroit located along the western shore of the Detroit River.
  • C. Warren, Michigan
    Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
  • D. St. Joseph, Michigan
    St. Joseph, Michigan is a small Lake Michigan shoreline city in southwestern Michigan known for its beaches, harbor, and historic downtown.
  • E. Portland, Michigan
    Portland, Michigan is a small city in Ionia County known for its historic downtown, multiple riverfront parks, and extensive network of pedestrian bridges and trails.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402b6f23081909aea1345a2938113 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:04 p.m.