Triple

T7972953
Position Surface form Disambiguated ID Type / Status
Subject Pepsi Can (early paint scheme) E185370 entity
Predicate appliedToLocomotiveType P23423 FINISHED
Object diesel-electric locomotive 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: diesel-electric locomotive | Statement: [Pepsi Can (early paint scheme), appliedToLocomotiveType, diesel-electric locomotive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedToLocomotiveType
Context triple: [Pepsi Can (early paint scheme), appliedToLocomotiveType, diesel-electric locomotive]
  • A. hasLocomotive
    Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
  • B. associatedWithLocomotive
    Indicates a relationship where something is connected or related to a locomotive, such as by use, function, origin, or context.
  • C. usesRollingStockCompatibleWith
    Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
  • D. appliedToVehicleType chosen
    Indicates that something (such as a rule, restriction, or condition) is specifically applicable to a particular type or category of vehicle.
  • E. locomotiveWorks
    Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd580dc819084be5b7963b6029c completed March 31, 2026, 3:13 a.m.
PD Predicate disambiguation batch_69cb047a8e4c81909b79e0f0bf56440c completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:13 p.m.