Triple

T34194861
Position Surface form Disambiguated ID Type / Status
Subject Ford Mustang Boss 302 (Coyote-based RoadRunner variant) E877212 entity
Predicate chassisEnhancements P114171 FINISHED
Object stiffer suspension tuning 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: stiffer suspension tuning | Statement: [Ford Mustang Boss 302 (Coyote-based RoadRunner variant), chassisEnhancements, stiffer suspension tuning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chassisEnhancements
Context triple: [Ford Mustang Boss 302 (Coyote-based RoadRunner variant), chassisEnhancements, stiffer suspension tuning]
  • A. chassisFeature chosen
    Indicates that a particular feature, component, or characteristic is part of or associated with a chassis.
  • B. chassis
    Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
  • C. chassisConstruction
    Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
  • D. chassisMaterialFeature
    Indicates that an entity has a chassis characterized by a specific material-related feature or property.
  • E. chassisIntegrationWith
    Indicates a relationship where one component or system is structurally or functionally integrated with a chassis as part of its overall assembly or design.
  • 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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7102881548190928d9eb3b0b54538 completed May 3, 2026, 9:06 a.m.
PD Predicate disambiguation batch_69f70f3c5bfc81908585f52e196dafe5 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:55 a.m.