Triple

T10683830
Position Surface form Disambiguated ID Type / Status
Subject Southwest Michigan region E251824 entity
Predicate containsCity P294 FINISHED
Object Kalamazoo E47154 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: Kalamazoo | Statement: [Southwest Michigan region, containsCity, Kalamazoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalamazoo
Context triple: [Southwest Michigan region, containsCity, Kalamazoo]
  • A. Kalamazoo chosen
    Kalamazoo is a mid-sized city in southwestern Michigan known for its historic downtown, educational institutions like Western Michigan University, and a legacy of manufacturing and craft beer.
  • B. Saginaw
    Saginaw is a residential suburb located within the greater Dallas urban area.
  • C. Saginaw
    Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
  • D. Frankfort, Michigan
    Frankfort, Michigan is a small Lake Michigan shoreline city known for its harbor, beaches, and role as a regional tourism and fishing hub in northwestern Michigan.
  • E. Hamilton, Michigan
    Hamilton, Michigan is a small unincorporated community and census-designated place in Allegan County known for its rural character and agricultural surroundings.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc5134c8190bcb1d96a32634c17 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:10 p.m.