Triple

T14645629
Position Surface form Disambiguated ID Type / Status
Subject Interstate Commerce Commission E343840 entity
Predicate mainRegulatedIndustry P35404 FINISHED
Object railroad industry 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: railroad industry | Statement: [Interstate Commerce Commission, mainRegulatedIndustry, railroad industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainRegulatedIndustry
Context triple: [Interstate Commerce Commission, mainRegulatedIndustry, railroad industry]
  • A. industryRegime chosen
    Indicates a regulatory or governance framework that controls or shapes how an industry operates.
  • B. governmentTypeRegulated
    Indicates that the type or form of government of an entity is subject to regulation, control, or definition by another authority or governing framework.
  • C. regulatedIn
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • D. typeOfAgencyRegulated
    Indicates that one entity is the kind or category of agency that is subject to regulation by another entity.
  • E. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de657359c88190b082e3e9f86fc1d7 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:26 a.m.