Triple

T6621257
Position Surface form Disambiguated ID Type / Status
Subject Lapeer County E149677 entity
Predicate largestCity P235 FINISHED
Object Lapeer E793966 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: Lapeer | Statement: [Lapeer County, largestCity, Lapeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapeer
Context triple: [Lapeer County, largestCity, Lapeer]
  • A. Lapeer chosen
    Lapeer is a small city in Michigan known as an administrative and commercial center for the surrounding rural region.
  • B. Utica, Michigan
    Utica, Michigan is a small suburban city in Macomb County known for its historic downtown and location along the Clinton River within the Metro Detroit area.
  • C. Ypsilanti
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • 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. Grand Blanc, Michigan
    Grand Blanc, Michigan is a suburban city in southeastern Genesee County known for its residential communities, schools, and proximity to Flint.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a1ad688190b1a2fc91ce3dbdc3 completed April 4, 2026, 12:14 p.m.
Created at: March 27, 2026, 1:58 p.m.