Triple

T23072289
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz U.S. International plant E575228 entity
Predicate locatedIn P40 FINISHED
Object Vance, Alabama NE NERFINISHED

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: Vance, Alabama | Statement: [Mercedes-Benz U.S. International plant, locatedIn, Vance, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vance, Alabama
Context triple: [Mercedes-Benz U.S. International plant, locatedIn, Vance, Alabama]
  • A. Vance, Alabama chosen
    Vance, Alabama is a small town in Tuscaloosa and Bibb counties best known as the site of a major Mercedes-Benz automobile manufacturing plant.
  • B. Vincent, Alabama
    Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • C. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • D. Vick, Alabama
    Vick, Alabama is an unincorporated rural community located in Butler County in the south-central region of the state.
  • E. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5ffad881909ed626045c15dd33 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.