Triple

T6645279
Position Surface form Disambiguated ID Type / Status
Subject Automatic Train Supervision E150683 entity
Predicate mayBeImplementedAs P8649 FINISHED
Object centralized architecture 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: centralized architecture | Statement: [Automatic Train Supervision, mayBeImplementedAs, centralized architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeImplementedAs
Context triple: [Automatic Train Supervision, mayBeImplementedAs, centralized architecture]
  • A. canBeImplementedWith chosen
    Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
  • B. supportsImplementationOf
    Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
  • C. areImplementedBy
    Indicates that one entity serves as the concrete realization or execution of the specification, design, or interface defined by another entity.
  • D. isImplementationOf
    Indicates that one entity realizes, fulfills, or concretely carries out the specification, interface, or abstract definition provided by another entity.
  • E. alsoImplements
    Indicates that an entity, in addition to its primary implementation, implements another interface, protocol, or specification as well.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6ad04d66c8190926ffcbff372643b completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2 p.m.