Triple

T30145659
Position Surface form Disambiguated ID Type / Status
Subject Euro III E766245 entity
Predicate encouragedTechnology P158569 FINISHED
Object improved fuel injection systems 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: improved fuel injection systems | Statement: [Euro III, encouragedTechnology, improved fuel injection systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: encouragedTechnology
Context triple: [Euro III, encouragedTechnology, improved fuel injection systems]
  • A. encouragesTechnology chosen
    Indicates that one entity promotes, supports, or motivates the use, adoption, or development of technology by another entity.
  • B. technologyEnabled
    Indicates that one entity provides or supports the technological means that allow another entity, process, or capability to function or be carried out.
  • C. influencedTechnology
    Indicates that one entity has had a causal or shaping impact on the development, design, or use of a technological entity.
  • D. envisionedTechnology
    Indicates that an entity has imagined, conceptualized, or planned a particular technology, typically before it exists or is realized.
  • E. enablesTechnology
    Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of a particular technology.
  • 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e8b21048190b0fbccb10b2d3523 completed May 2, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 7:18 p.m.