Triple

T35886882
Position Surface form Disambiguated ID Type / Status
Subject La Déesse E1037671 entity
Predicate associatedWithLayout P185614 FINISHED
Object front-engine, front-wheel-drive layout 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: front-engine, front-wheel-drive layout | Statement: [La Déesse, associatedWithLayout, front-engine, front-wheel-drive layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithLayout
Context triple: [La Déesse, associatedWithLayout, front-engine, front-wheel-drive layout]
  • A. associatedWithElement
    Indicates a relationship where one entity is linked or connected to a particular element, such that the element is relevant to, involved in, or characteristic of that entity.
  • B. associatedWithAttribute chosen
    Indicates that one entity is linked to, characterized by, or described through a particular attribute.
  • C. associatedWithRelationship
    Indicates a general connection or involvement between entities through some form of relationship, without specifying its exact nature.
  • D. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • E. associatedWithFront
    Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face 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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.