Triple

T21886560
Position Surface form Disambiguated ID Type / Status
Subject Signum E540419 entity
Predicate onboardFunction P36407 FINISHED
Object automatic emergency brake application 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: automatic emergency brake application | Statement: [Signum, onboardFunction, automatic emergency brake application]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onboardFunction
Context triple: [Signum, onboardFunction, automatic emergency brake application]
  • A. onBoard
    Indicates that one entity is physically located on or within a vehicle, vessel, or platform operated or used by another entity.
  • B. onboardPlatform
    Indicates that an entity is being added, integrated, or enrolled onto a particular platform so it can start operating or participating there.
  • C. onBoardService
    Indicates that a service is provided to or available for passengers while they are physically on board a vehicle, vessel, or aircraft.
  • D. onboardLocation
    Indicates that one entity is located on or within a vehicle, vessel, or other conveyance associated with another entity.
  • E. hasOnboardFeature chosen
    Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ed35948190bbffba2c40029eee completed April 28, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e6be9a65888190a66598d62d20366c completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:05 p.m.