Triple

T28651908
Position Surface form Disambiguated ID Type / Status
Subject Modular Transverse Matrix E725222 entity
Predicate designedForEngineLayout P9494 FINISHED
Object front‑engined vehicles 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‑engined vehicles | Statement: [Modular Transverse Matrix, designedForEngineLayout, front‑engined vehicles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedForEngineLayout
Context triple: [Modular Transverse Matrix, designedForEngineLayout, front‑engined vehicles]
  • A. boreStrokeDesign
    Indicates that an engine’s bore and stroke configuration is designed or specified in a particular way.
  • B. engineeredForLabel
    Indicates that something has been specifically designed, adapted, or optimized to serve, support, or be used for the referenced label or purpose.
  • C. propulsionLayout
    Indicates how propulsion components are arranged or configured relative to each other within a system.
  • D. enginePlacement
    Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
  • E. isDesignedFor chosen
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use 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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: April 28, 2026, 4:52 a.m.