Triple

T8873325
Position Surface form Disambiguated ID Type / Status
Subject Michigan E211210 entity
Predicate hasOfficialSoil P1675 FINISHED
Object Kalkaska sand E763162 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: Kalkaska sand | Statement: [Michigan, hasOfficialSoil, Kalkaska sand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalkaska sand
Context triple: [Michigan, hasOfficialSoil, Kalkaska sand]
  • A. Kalkaska sand chosen
    Kalkaska sand is a well-drained, acidic soil type formed in glacial deposits, widely recognized for supporting Michigan’s extensive forests and agriculture.
  • B. Otsego
    Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
  • C. Poweshiek
    Poweshiek was a 19th-century Meskwaki (Fox) chief known for his leadership during a period of increasing U.S. expansion into Native American lands in the Midwest.
  • D. Petoskey
    Petoskey is a resort and tourist city on the shores of Lake Michigan in northern Michigan, known for its scenic waterfront and distinctive fossilized coral stones called Petoskey stones.
  • E. Marenisco, Michigan
    Marenisco, Michigan is a small rural community in Michigan's western Upper Peninsula known for its forests, lakes, and outdoor recreation opportunities.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab9e87cc8190ae3c8c683aa0921e completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.