Triple

T22439014
Position Surface form Disambiguated ID Type / Status
Subject Bond Arms Roughneck E554702 entity
Predicate featureTradeoff P28754 FINISHED
Object reduced cosmetic refinement for lower cost 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: reduced cosmetic refinement for lower cost | Statement: [Bond Arms Roughneck, featureTradeoff, reduced cosmetic refinement for lower cost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featureTradeoff
Context triple: [Bond Arms Roughneck, featureTradeoff, reduced cosmetic refinement for lower cost]
  • A. hasTradeoff
    Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
  • B. hasDesignTradeoff chosen
    Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
  • C. decisionMakingTool
    Indicates that an entity functions as a tool or system used to support, structure, or carry out decision-making processes for another entity.
  • D. decisiveFeature
    Indicates that one feature or characteristic plays a determining role in deciding an outcome or distinguishing between alternatives.
  • E. compromiseFeature
    Indicates that one entity weakens, reduces, or negatively affects the quality, effectiveness, or integrity of a feature of another entity.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae01bd08190aee5141f4c0848bc completed April 29, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.