Triple

T2475335
Position Surface form Disambiguated ID Type / Status
Subject Pontiac Bonneville E55074 entity
Predicate notableDesignElement P7734 FINISHED
Object extensive chrome trim in early years 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: extensive chrome trim in early years | Statement: [Pontiac Bonneville, notableDesignElement, extensive chrome trim in early years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDesignElement
Context triple: [Pontiac Bonneville, notableDesignElement, extensive chrome trim in early years]
  • A. notableElement chosen
    Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
  • B. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • C. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • D. designedIn
    Indicates that something was created, planned, or conceived during a particular time period or at a specific location.
  • E. notableSurface
    Indicates that one entity is a surface or exterior of particular significance or prominence in relation to 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b5e3d481909a5cbc4a96edd24f completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.