Triple

T812002
Position Surface form Disambiguated ID Type / Status
Subject Saab 93 E17564 entity
Predicate enginePosition P14986 FINISHED
Object longitudinal front 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 | Statement: [Saab 93, enginePosition, longitudinal front]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enginePosition
Context triple: [Saab 93, enginePosition, longitudinal front]
  • A. engine
    Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
  • B. powertrainLocation chosen
    Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
  • C. enginePower
    Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
  • D. engineDisplacement
    Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
  • E. instrumentClusterPosition
    Indicates the spatial location or mounting position of an instrument cluster relative to a reference point in a system or vehicle.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab4c7418819085cb64c6bf5fa70c completed March 1, 2026, 9:10 p.m.
PD Predicate disambiguation batch_69a4aa73df08819096d0553a4b2509de completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.