Triple

T20316393
Position Surface form Disambiguated ID Type / Status
Subject Railways Act 2005 E510389 entity
Predicate partOfLegalArea P2167 FINISHED
Object UK transport law 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: UK transport law | Statement: [Railways Act 2005, partOfLegalArea, UK transport law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfLegalArea
Context triple: [Railways Act 2005, partOfLegalArea, UK transport law]
  • A. legalArea chosen
    Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
  • B. hasPartInJurisidiction
    Indicates that an entity includes or comprises a component, segment, or subdivision that exists or operates within a specified jurisdiction.
  • C. regulatedArea
    Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
  • D. territorialJurisdictionIncludes
    Indicates that one authority’s territorial jurisdiction encompasses or extends over a specified geographic area or location.
  • E. legalLicenseJurisdiction
    Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67787af188190bc32a3049c9c5b39 completed April 20, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:19 a.m.