Triple

T13948879
Position Surface form Disambiguated ID Type / Status
Subject Van Buren County, Michigan E335462 entity
Predicate contains P35 FINISHED
Object Lawrence, Michigan NE NERFINISHED

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: Lawrence, Michigan | Statement: [Van Buren County, Michigan, contains, Lawrence, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence, Michigan
Context triple: [Van Buren County, Michigan, contains, Lawrence, Michigan]
  • A. Lawrence, Michigan chosen
    Lawrence, Michigan is a small village in Van Buren County in southwestern Michigan, known for its rural character and inclusion in the broader Kalamazoo–Portage region.
  • B. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • 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. Litchfield, Michigan
    Litchfield, Michigan is a small city in southern Michigan known for its rural character and tight-knit community.
  • E. Leland, Michigan
    Leland, Michigan is a small historic village on the shores of Lake Michigan known for its picturesque harbor and preserved fishing district called Fishtown.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
Created at: April 9, 2026, 10:17 p.m.