Triple

T2462534
Position Surface form Disambiguated ID Type / Status
Subject Ford CD6 platform (sixth generation) E54563 entity
Predicate supportsBodyConfiguration P24486 FINISHED
Object three-row seating SUVs 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: three-row seating SUVs | Statement: [Ford CD6 platform (sixth generation), supportsBodyConfiguration, three-row seating SUVs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsBodyConfiguration
Context triple: [Ford CD6 platform (sixth generation), supportsBodyConfiguration, three-row seating SUVs]
  • A. supportsBody
    Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
  • B. bodyConfiguration
    Indicates the specific physical arrangement, posture, or structural setup of an entity’s body in relation to its parts or environment.
  • C. belongsToBody
    Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
  • D. establishesBodyType
    Indicates that an entity defines or sets the physical or structural body type of another entity.
  • E. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.