Triple

T36675478
Position Surface form Disambiguated ID Type / Status
Subject Cab-forward steam locomotives E905529 entity
Predicate operationalDisadvantage P7340 FINISHED
Object increased crew exposure in case of collision 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: increased crew exposure in case of collision | Statement: [Cab-forward steam locomotives, operationalDisadvantage, increased crew exposure in case of collision]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalDisadvantage
Context triple: [Cab-forward steam locomotives, operationalDisadvantage, increased crew exposure in case of collision]
  • A. disadvantage chosen
    Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
  • B. operationalChallenge
    Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
  • C. operationalCharacteristic
    Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
  • D. operationalAssessment
    Indicates an evaluation of how effectively and efficiently an entity, system, or process is functioning in practice.
  • E. laterOperationalIssue
    Indicates that an operational issue occurred at some point after a referenced time, event, or condition.
  • 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_69f76e7011dc819082b324f18b756a1b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a01bcd39760819081807a02eb1939d1 completed May 11, 2026, 11:26 a.m.
PD Predicate disambiguation batch_6a01bc3f1c74819087580e3134affc60 completed May 11, 2026, 11:23 a.m.
Created at: May 3, 2026, 4:12 p.m.