Triple

T13527035
Position Surface form Disambiguated ID Type / Status
Subject Toyota vehicles E323037 entity
Predicate environmentalStrategy P9953 FINISHED
Object electrification 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: electrification | Statement: [Toyota vehicles, environmentalStrategy, electrification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalStrategy
Context triple: [Toyota vehicles, environmentalStrategy, electrification]
  • A. environmentalFocus chosen
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • B. environmentalProtectionGoal
    Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
  • C. environmentalProtocol
    Indicates a formal agreement or set of rules governing how parties should act to protect or manage the environment.
  • D. environmentalProgram
    Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
  • E. hasEnvironmentalPolicy
    Indicates that an entity has established, adopted, or follows a formal policy or set of guidelines related to environmental practices or impacts.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
PD Predicate disambiguation batch_69dbae1046c48190b4ee98c6c9cb9d85 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.