Triple

T9560424
Position Surface form Disambiguated ID Type / Status
Subject Forney locomotive E230656 entity
Predicate hasBrakeType P4166 FINISHED
Object train air brakes 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: train air brakes | Statement: [Forney locomotive, hasBrakeType, train air brakes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBrakeType
Context triple: [Forney locomotive, hasBrakeType, train air brakes]
  • A. brakeType chosen
    Indicates the specific kind or system of brakes associated with an entity.
  • B. brakeConfigurationSupport
    Indicates that one entity provides or defines support for the brake configuration of another entity.
  • C. brakeSupplier
    Indicates that one entity serves as the supplier or provider of brakes to another entity.
  • D. brakeWear
    Indicates that an entity is experiencing or exhibiting wear, degradation, or reduction in effectiveness of its braking components or braking function.
  • E. hasPedal
    Indicates that one entity possesses or is equipped with a pedal or pedals used for operation or control.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994bde0c8190afcba5cb8fa8b984 completed April 1, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:03 p.m.