Triple

T22468210
Position Surface form Disambiguated ID Type / Status
Subject Iron County, Michigan E555415 entity
Predicate contains P35 FINISHED
Object Crystal Falls, 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: Crystal Falls, Michigan | Statement: [Iron County, Michigan, contains, Crystal Falls, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crystal Falls, Michigan
Context triple: [Iron County, Michigan, contains, Crystal Falls, Michigan]
  • A. Crystal Falls, Michigan chosen
    Crystal Falls, Michigan is a small city in Michigan’s Upper Peninsula known for its historic downtown, outdoor recreation opportunities, and role as a regional service and cultural center.
  • B. Crystal Falls
    Crystal Falls is a small rural community located within the municipality of West Nipissing in northeastern Ontario, Canada.
  • C. Crystal Falls
    Crystal Falls is a scenic waterfall and popular natural swimming spot along the Jatbula Trail in Nitmiluk National Park, Northern Territory, Australia.
  • D. Crystal, Michigan
    Crystal, Michigan is a small rural village located in central Michigan known for its lakeside setting and tight-knit community within Montcalm County.
  • 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 (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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdda62c8190937ac13a4481b4b7 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.