Triple

T11864726
Position Surface form Disambiguated ID Type / Status
Subject Guarantee Credit E282251 entity
Predicate interactionWithOtherBenefits P101947 FINISHED
Object can increase entitlement to Housing Benefit 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: can increase entitlement to Housing Benefit | Statement: [Guarantee Credit, interactionWithOtherBenefits, can increase entitlement to Housing Benefit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interactionWithOtherBenefits
Context triple: [Guarantee Credit, interactionWithOtherBenefits, can increase entitlement to Housing Benefit]
  • A. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • B. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • C. relatedBenefit
    Indicates that one entity provides an advantage, gain, or positive outcome that is connected or attributable to another entity.
  • D. exclusiveBenefit
    Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
  • E. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69d8a2589f0c8190ad82ff11acabae93 completed April 10, 2026, 7:10 a.m.
PDg Predicate description generation batch_69d8a43cc0c881909fed7cd759fe90b1 completed April 10, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:43 p.m.