Triple

T2134722
Position Surface form Disambiguated ID Type / Status
Subject National Insurance Act 1920 E46622 entity
Predicate extendsCoverageTo P1673 FINISHED
Object a much larger portion of the British workforce 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: a much larger portion of the British workforce | Statement: [National Insurance Act 1920, extendsCoverageTo, a much larger portion of the British workforce]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: extendsCoverageTo
Context triple: [National Insurance Act 1920, extendsCoverageTo, a much larger portion of the British workforce]
  • A. extendsTo chosen
    Indicates that one entity reaches, stretches, or continues its scope, influence, or coverage up to or into another entity.
  • B. extendsUnder
    Indicates that one entity physically stretches or reaches out beneath another entity, occupying a lower position while continuing under its span or area.
  • C. extendedBy
    Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
  • D. mayExtendTo
    Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
  • E. extendedPassagesFrom
    Indicates that one text or document contains longer or more detailed passages derived from, elaborating on, or continuing the content of another source.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba24004819091ffb9440e8615fa completed March 7, 2026, 5:46 a.m.
PD Predicate disambiguation batch_69abb7bf56e481909b0f497d238451cc completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:44 p.m.