Triple

T12079564
Position Surface form Disambiguated ID Type / Status
Subject Dow Diamond E287641 entity
Predicate region P40 FINISHED
Object Central Michigan E189435 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: Central Michigan | Statement: [Dow Diamond, region, Central Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Michigan
Context triple: [Dow Diamond, region, Central Michigan]
  • A. Central Michigan chosen
    Central Michigan is a mid-Michigan region characterized by its mix of small cities, agricultural areas, and river systems, including the Grand River.
  • B. Mid-Michigan
    Mid-Michigan is a central region of the U.S. state of Michigan that includes cities such as Flint and Lansing and serves as a hub for education, industry, and transportation.
  • C. Midland, Michigan
    Midland, Michigan is a small city in central Michigan known as a hub for the chemical industry and the longtime headquarters of Dow Chemical Company.
  • D. Central Michigan University
    Central Michigan University is a public research university in Mount Pleasant, Michigan, known for its comprehensive academic programs and strong teacher education and health professions offerings.
  • E. West Michigan
    West Michigan is a region of the U.S. state of Michigan along the eastern shore of Lake Michigan, known for its mid-sized cities like Grand Rapids, manufacturing base, and scenic lakeshore communities.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6b2d788190975275d713c26a4e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.