Triple

T787285
Position Surface form Disambiguated ID Type / Status
Subject Dow Chemical Company E16832 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: [Dow Chemical Company, headquartersLocation, Midland, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland, Michigan
Context triple: [Dow Chemical Company, 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. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • C. Jackson, Michigan
    Jackson, Michigan is a mid-sized city in south-central Michigan historically notable as the birthplace of the Republican Party in the 1850s.
  • D. Taylor, Michigan
    Taylor, Michigan is a suburban city in Wayne County that forms part of the Downriver area of metropolitan Detroit.
  • E. Ecorse, Michigan
    Ecorse, Michigan is a small industrial city in Wayne County along the Detroit River, historically known for its steel manufacturing and role in the Downriver Detroit 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a78171908190a38a70274bfbebf9 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:38 p.m.