Triple

T2512654
Position Surface form Disambiguated ID Type / Status
Subject Ingham County, Michigan E52735 entity
Predicate contains P35 FINISHED
Object Okemos, Michigan E272734 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: Okemos, Michigan | Statement: [Ingham County, Michigan, contains, Okemos, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okemos, Michigan
Context triple: [Ingham County, Michigan, contains, Okemos, Michigan]
  • A. Okemos chosen
    Okemos is a suburban community in central Michigan known for its residential neighborhoods, schools, and proximity to Michigan State University in nearby East Lansing.
  • B. Crystal Mountain (Michigan)
    Crystal Mountain (Michigan) is a popular four-season resort in northern Michigan known for its ski slopes, golf courses, and family-friendly recreational activities.
  • C. Otsego
    Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
  • D. Mount Morris, Michigan
    Mount Morris, Michigan is a small city in Genesee County known as a residential community within the Flint metropolitan area.
  • E. Iron Mountain, Michigan
    Iron Mountain, Michigan is a small city in the western Upper Peninsula known for its iron mining heritage, outdoor recreation, and proximity to the Wisconsin border.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b934d3c81909627a5f4d6e6ca6a completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.