Triple

T3567689
Position Surface form Disambiguated ID Type / Status
Subject Cadillac XLR E75490 entity
Predicate engineLayout P22132 FINISHED
Object longitudinal front-engine 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: longitudinal front-engine | Statement: [Cadillac XLR, engineLayout, longitudinal front-engine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineLayout
Context triple: [Cadillac XLR, engineLayout, longitudinal front-engine]
  • A. enginePlacement chosen
    Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
  • B. propulsionLayout
    Indicates how propulsion components are arranged or configured relative to each other within a system.
  • C. vehicleLayout
    Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
  • D. engine
    Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
  • E. numberOfCylinders
    Indicates the count of engine cylinders associated with an 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69adb834779081908468e182d5f6cf02 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.