Triple

T16266226
Position Surface form Disambiguated ID Type / Status
Subject Holden Special Vehicles E394881 entity
Predicate basedOnModelsOf P7125 FINISHED
Object Holden E2747 NE FINISHED

How this triple was built (3 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: Holden | Statement: [Holden Special Vehicles, basedOnModelsOf, Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden
Context triple: [Holden Special Vehicles, basedOnModelsOf, Holden]
  • A. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • B. Holden
    Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • C. Holden chosen
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • D. Holden
    Holden is a masculine given name of English origin, commonly used in English-speaking countries.
  • E. Holden
    Holden is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnModelsOf
Context triple: [Holden Special Vehicles, basedOnModelsOf, Holden]
  • A. isModelOf
    Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
  • B. usesModelsType
    Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
  • C. basedOnSolutionOf
    Indicates that one entity is derived, developed, or constructed using the solution or outcome produced by another entity.
  • D. possibleModel
    Indicates that one entity can serve as a potential or candidate model or template for another entity.
  • E. isBasedOn chosen
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • F. None of above.

Provenance (4 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8eac988190bdcba6778fbffd64 completed May 10, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69e219f259e88190bf49d8408c04178e completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:05 a.m.