Triple

T35142987
Position Surface form Disambiguated ID Type / Status
Subject Article 15(4) E1014745 entity
Predicate beneficiaryCriterion P22506 FINISHED
Object social backwardness 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: social backwardness | Statement: [Article 15(4), beneficiaryCriterion, social backwardness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiaryCriterion
Context triple: [Article 15(4), beneficiaryCriterion, social backwardness]
  • A. beneficiaryRequirement
    Indicates that one entity has a requirement specifying who or what must be the beneficiary of a particular action, service, or resource.
  • B. beneficiaryProvision
    Indicates that one entity provides something (such as goods, services, or benefits) for the advantage or benefit of another entity.
  • C. beneficiaryType chosen
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • D. beneficiarySelectionMethod
    Indicates the way in which a beneficiary is chosen or determined in relation to an action, agreement, or resource.
  • E. beneficiaryLevel
    Indicates the degree or extent to which an entity benefits from, or is favored by, a particular action, resource, or arrangement.
  • 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_69f76dda7c108190a2ffd93eb6c341a7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78cab90cc8190827145ac515d203b completed May 3, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.