Triple

T2625852
Position Surface form Disambiguated ID Type / Status
Subject Jobseeker’s Allowance E59114 entity
Predicate canBeSanctionedFor P42314 FINISHED
Object failure to meet work search requirements 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: failure to meet work search requirements | Statement: [Jobseeker’s Allowance, canBeSanctionedFor, failure to meet work search requirements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeSanctionedFor
Context triple: [Jobseeker’s Allowance, canBeSanctionedFor, failure to meet work search requirements]
  • A. typeOfSanction
    Indicates the specific category or kind of sanction that is applied in a given situation.
  • B. canImposeSanctions
    Indicates that one entity has the authority or power to apply punitive or restrictive measures (sanctions) against another entity.
  • C. receivedSanctionFrom
    Indicates that one entity has been subjected to a formal penalty, restriction, or disciplinary measure imposed by another entity.
  • D. requiresSanctioningBody
    Indicates that an action, event, or decision must be approved or authorized by a designated sanctioning authority or governing body.
  • E. employerSanctionsDescription
    Indicates a description of penalties or disciplinary actions imposed by an employer in response to certain behaviors, violations, or conditions.
  • F. None of above. chosen

Provenance (4 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abdb0bf9b881908b239c1310c7bbf3 completed March 7, 2026, 8 a.m.
Created at: March 6, 2026, 9:50 p.m.