Triple

T2115061
Position Surface form Disambiguated ID Type / Status
Subject Great Britain A roads E42590 entity
Predicate usesNumberingSystem P5213 FINISHED
Object Great Britain road numbering scheme 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: Great Britain road numbering scheme | Statement: [Great Britain A roads, usesNumberingSystem, Great Britain road numbering scheme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNumberingSystem
Context triple: [Great Britain A roads, usesNumberingSystem, Great Britain road numbering scheme]
  • A. hasNumberSystem chosen
    Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
  • B. usesHarmonizedNumberingWith
    Indicates that two entities apply the same standardized numbering scheme so their identifiers or codes are directly comparable or aligned.
  • C. notationSystem
    Indicates a relationship where one entity is the system or method of notation used to represent or encode another entity.
  • D. usesRomanNumerals
    Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
  • E. usesDivisionSystem
    Indicates that one entity organizes or structures something by applying a particular system of division or categorization.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69abb7bbf9d881909d223b0cab7cab18 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.