Triple

T5314427
Position Surface form Disambiguated ID Type / Status
Subject New State Pension E119111 entity
Predicate isIndividualBenefit P63439 FINISHED
Object true 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: true | Statement: [New State Pension, isIndividualBenefit, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isIndividualBenefit
Context triple: [New State Pension, isIndividualBenefit, true]
  • A. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • B. benefitAdministered
    Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
  • C. benefitForm
    Indicates that one entity is a specific form, type, or variant in which a benefit is provided or realized for another entity.
  • D. benefitProgramInvolved
    Indicates that a benefit program participates in, is associated with, or plays a role in the referenced situation or relationship.
  • E. exclusiveBenefit
    Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84534f9c8190bc19d4812060768d completed March 20, 2026, 5:30 p.m.
PDg Predicate description generation batch_69bd86f0cbfc8190b6665dd9b28d6345 completed March 20, 2026, 5:42 p.m.
Created at: March 20, 2026, 1:54 p.m.