Triple

T4446559
Position Surface form Disambiguated ID Type / Status
Subject DowDuPont E96302 entity
Predicate headquartersLocation P62 FINISHED
Object Midland, Michigan E57541 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: Midland, Michigan | Statement: [DowDuPont, headquartersLocation, Midland, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland, Michigan
Context triple: [DowDuPont, headquartersLocation, Midland, Michigan]
  • A. Midland, Michigan chosen
    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.
  • B. Birmingham, Michigan
    Birmingham, Michigan is an affluent suburban city in the Detroit metropolitan area known for its upscale shopping district, walkable downtown, and high quality of life.
  • C. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • D. Wyandotte, Michigan
    Wyandotte, Michigan is a small industrial city and Downriver suburb of Detroit located along the western shore of the Detroit River.
  • E. Bessemer, Michigan
    Bessemer, Michigan is a small city in the western Upper Peninsula known as an administrative and commercial hub for the surrounding Gogebic County region.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69c83c2fa16c8190b03ed4d47b6090e7 completed March 28, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:32 p.m.