Triple

T7975561
Position Surface form Disambiguated ID Type / Status
Subject Huron River E185437 entity
Predicate flowsThrough P225 FINISHED
Object Milford, Michigan E519725 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: Milford, Michigan | Statement: [Huron River, flowsThrough, Milford, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milford, Michigan
Context triple: [Huron River, flowsThrough, Milford, Michigan]
  • A. Milford, Michigan chosen
    Milford, Michigan is a small village in Oakland County known for its historic downtown, parks, and proximity to the Huron River and nearby recreational areas.
  • B. Mulliken, Michigan
    Mulliken, Michigan is a small rural village located in Eaton County in the south-central region of the U.S. state of Michigan.
  • C. Hesperia, Michigan
    Hesperia, Michigan is a small village in western Michigan known for its rural character, outdoor recreation opportunities, and location near the White River.
  • D. Montrose, Michigan
    Montrose, Michigan is a small city in Genesee County known for its rural character and proximity to the Flint metropolitan area.
  • E. Kingsford, Michigan
    Kingsford, Michigan is a small city in Michigan’s Upper Peninsula known historically for its ties to the Ford Motor Company and its proximity to Iron Mountain.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d58af368788190a4b020cc46cc30d5 completed April 7, 2026, 10:53 p.m.
Created at: March 30, 2026, 5:14 p.m.