Triple

T9859100
Position Surface form Disambiguated ID Type / Status
Subject Rolls-Royce WR-21 E239660 entity
Predicate purposeOfFeature P79 FINISHED
Object improve fuel efficiency 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: improve fuel efficiency | Statement: [Rolls-Royce WR-21, purposeOfFeature, improve fuel efficiency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeOfFeature
Context triple: [Rolls-Royce WR-21, purposeOfFeature, improve fuel efficiency]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. purposeOfConstruction
    Indicates that one entity was constructed or built in order to serve, enable, or fulfill the function, goal, or intended use represented by another entity.
  • C. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • D. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • E. purposeAndConstructionDefinedIn
    Indicates that the purpose and construction details of something are specified or defined within a particular source or context.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39b06b48190ab53ff00ff0513ca completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:35 p.m.