Triple

T12846068
Position Surface form Disambiguated ID Type / Status
Subject Hillsdale County, Michigan E307178 entity
Predicate hasCity P316 FINISHED
Object Hillsdale, 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: Hillsdale, Michigan | Statement: [Hillsdale County, Michigan, hasCity, Hillsdale, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillsdale, Michigan
Context triple: [Hillsdale County, Michigan, hasCity, Hillsdale, Michigan]
  • A. Hillsdale, Michigan chosen
    Hillsdale, Michigan is a small city and county seat known for its historic downtown and as the home of Hillsdale College.
  • 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. Hart, Michigan
    Hart, Michigan is a small city in western Michigan that serves as the administrative and commercial hub of rural Oceana County.
  • 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. Holt, Michigan
    Holt, Michigan is an unincorporated community and census-designated place near Lansing known as a suburban residential area with its own schools and local businesses.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
Created at: April 9, 2026, 5:36 p.m.