Triple

T34983545
Position Surface form Disambiguated ID Type / Status
Subject Work Capability Assessment E1008880 entity
Predicate usedForBenefit P101952 FINISHED
Object Employment and Support Allowance NE NERFINISHED

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: Employment and Support Allowance | Statement: [Work Capability Assessment, usedForBenefit, Employment and Support Allowance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForBenefit
Context triple: [Work Capability Assessment, usedForBenefit, Employment and Support Allowance]
  • A. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • B. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • C. benefitAppliesTo chosen
    Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
  • D. usedForService
    Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
  • E. usedForProduct
    Indicates that one entity serves as a tool, component, or means specifically employed in the creation, operation, or delivery of another entity considered as a product.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
Created at: May 3, 2026, 4:01 p.m.