Triple

T17447138
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 24 E424813 entity
Predicate runsThroughCity P10456 FINISHED
Object Clio, 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: Clio, Michigan | Statement: [U.S. Route 24, runsThroughCity, Clio, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clio, Michigan
Context triple: [U.S. Route 24, runsThroughCity, Clio, Michigan]
  • A. Clio, Michigan chosen
    Clio, Michigan is a small city in Genesee County known as a suburban community near Flint with a mix of residential neighborhoods and local businesses.
  • B. Clarkston, Michigan
    Clarkston, Michigan is a small historic city in Oakland County known for its charming downtown, lakeside setting, and community events.
  • C. Clarksville, Michigan
    Clarksville, Michigan is a small rural village in central Michigan known for its close-knit community and agricultural surroundings.
  • D. 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.
  • E. Athens, Michigan
    Athens, Michigan is a small village in southern Michigan known for its rural character and location within the Battle Creek metropolitan area.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.