Triple

T14712472
Position Surface form Disambiguated ID Type / Status
Subject Strub system E345584 entity
Predicate brakingMethod P4166 FINISHED
Object rack-based braking 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: rack-based braking | Statement: [Strub system, brakingMethod, rack-based braking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brakingMethod
Context triple: [Strub system, brakingMethod, rack-based braking]
  • A. brakeType chosen
    Indicates the specific kind or system of brakes associated with an entity.
  • B. brakeFeature
    Indicates that an entity possesses or is equipped with a particular braking-related feature or capability.
  • C. brakeConfigurationSupport
    Indicates that one entity provides or defines support for the brake configuration of another entity.
  • D. brakeSupplier
    Indicates that one entity serves as the supplier or provider of brakes to another entity.
  • E. brakeWear
    Indicates that an entity is experiencing or exhibiting wear, degradation, or reduction in effectiveness of its braking components or braking function.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69de657c57ec8190ae0b9bb79a514566 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:28 a.m.