Triple

T28807997
Position Surface form Disambiguated ID Type / Status
Subject Skyactiv-Body platform (third generation) E727431 entity
Predicate engineeringObjective P49728 FINISHED
Object weight reduction without compromising safety 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: weight reduction without compromising safety | Statement: [Skyactiv-Body platform (third generation), engineeringObjective, weight reduction without compromising safety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineeringObjective
Context triple: [Skyactiv-Body platform (third generation), engineeringObjective, weight reduction without compromising safety]
  • A. engineeringGoal chosen
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • B. engineeringDesign
    Indicates the relationship in which an entity is responsible for planning, specifying, or creating the technical design of another entity (such as a system, component, or structure).
  • C. engineeringBasis
    Indicates that something serves as the foundational technical or engineering rationale, justification, or underlying basis for another entity or decision.
  • D. trainingObjective
    Indicates the goal or target outcome that a training process is designed to achieve.
  • E. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • 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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 6:29 a.m.