Triple

T381587
Position Surface form Disambiguated ID Type / Status
Subject GMT900 E8690 entity
Predicate bodyStyleSupport P1609 FINISHED
Object 2-door pickup truck LITERAL 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: 2-door pickup truck | Statement: [GMT900, bodyStyleSupport, 2-door pickup truck]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bodyStyleSupport
Context triple: [GMT900, bodyStyleSupport, 2-door pickup truck]
  • A. primaryBodyStyle
    Indicates the main or predominant body configuration or structural form associated with an entity.
  • B. supportsBody
    Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
  • C. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • D. supportsView
    Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
  • E. establishesBodyType
    Indicates that an entity defines or sets the physical or structural body type of another entity.
  • F. None of above.

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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2e3d5c8190b358bd9fd6b16a14 completed Feb. 28, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69a2e96602188190b0cbc167f55a9237 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.