Triple

T20224566
Position Surface form Disambiguated ID Type / Status
Subject Hardy Dam Pond E495343 entity
Predicate hasNearbyCity P350 FINISHED
Object Newaygo, 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: Newaygo, Michigan | Statement: [Hardy Dam Pond, hasNearbyCity, Newaygo, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newaygo, Michigan
Context triple: [Hardy Dam Pond, hasNearbyCity, Newaygo, Michigan]
  • A. Newaygo, Michigan chosen
    Newaygo, Michigan is a small city in west-central Michigan known for its outdoor recreation, especially fishing, boating, and kayaking along the Muskegon River.
  • B. Pewamo, Michigan
    Pewamo, Michigan is a small rural village located in central Michigan that is part of the Greater Lansing metropolitan area.
  • C. Newberry, Michigan
    Newberry, Michigan is a small village in Michigan’s Upper Peninsula that serves as a gateway to nearby forests, lakes, and outdoor recreation areas.
  • D. Mattawan, Michigan
    Mattawan, Michigan is a small village in southwestern Michigan known for its residential community, local schools, and proximity to the Kalamazoo metropolitan area.
  • E. Muskegon, Michigan
    Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd8f1948190adbb947a7870bb43 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.