Triple

T13078542
Position Surface form Disambiguated ID Type / Status
Subject ArtScience E329640 entity
Predicate featuresElectronicElements P88194 FINISHED
Object true 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: true | Statement: [ArtScience, featuresElectronicElements, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresElectronicElements
Context triple: [ArtScience, featuresElectronicElements, true]
  • A. hardwareComponent
    Indicates that one entity is a physical hardware part or module that is contained in, attached to, or functionally part of another hardware system or device.
  • B. circuitDesigner
    Indicates that an entity is responsible for designing or creating electronic circuits for another entity or system.
  • C. featuresElectricSide
    Indicates that something includes or is equipped with an electric-powered side or component as part of its design or functionality.
  • D. hasElectronicsFeature chosen
    Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
  • E. exchangeListingOfComponents
    Indicates that components are listed or registered for trading or exchange between parties or systems.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:01 p.m.