Triple

T24042676
Position Surface form Disambiguated ID Type / Status
Subject 446 series EMU E595426 entity
Predicate hasInfrastructureCompatibility P48645 FINISHED
Object electrified lines 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: electrified lines | Statement: [446 series EMU, hasInfrastructureCompatibility, electrified lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureCompatibility
Context triple: [446 series EMU, hasInfrastructureCompatibility, electrified lines]
  • A. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • B. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • C. checksCompatibilityWith
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • D. hasInfrastructureAbove
    Indicates that one entity’s infrastructure is physically located above or over another entity.
  • E. isGenerallyCompatibleWith chosen
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • 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_69e288c06a908190899cad4531f32c9a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d8db3b4c81908a36eace8ec136cc completed April 29, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69f1764345388190a3102b62ddb729b4 completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:58 p.m.