Triple

T2420825
Position Surface form Disambiguated ID Type / Status
Subject Dearborn E53412 entity
Predicate locatedOn P40 FINISHED
Object River Rouge E83853 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: River Rouge | Statement: [Dearborn, locatedOn, River Rouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Rouge
Context triple: [Dearborn, locatedOn, River Rouge]
  • A. River Rouge chosen
    River Rouge is a river in southeastern Michigan that flows through the Detroit metropolitan area and has historically been central to the region’s industrial development.
  • B. Calumet Harbor
    Calumet Harbor is a commercial and industrial harbor on the southwest shore of Lake Michigan that serves as a key shipping and transportation hub for the Chicago region.
  • C. Highland Park, Michigan
    Highland Park, Michigan is a small, historically industrial city enclave surrounded by Detroit, known for its early automotive plants and role in the development of the U.S. auto industry.
  • D. Calumet Heights
    Calumet Heights is a primarily residential neighborhood located on the South Side of Chicago, known for its stable middle-class character and well-kept homes.
  • E. Dearborn
    Dearborn is a city in the Detroit metropolitan area best known as the longtime headquarters of the Ford Motor Company and a historic center of the American automotive industry.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf57b0708190bf4d38c51e02309f completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.