Triple

T37594121
Position Surface form Disambiguated ID Type / Status
Subject ICPD+5 E935332 entity
Predicate hasThematicEmphasis P17414 FINISHED
Object implementation of rights-based approaches to population and development 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: implementation of rights-based approaches to population and development | Statement: [ICPD+5, hasThematicEmphasis, implementation of rights-based approaches to population and development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThematicEmphasis
Context triple: [ICPD+5, hasThematicEmphasis, implementation of rights-based approaches to population and development]
  • A. hasThematicOrigin
    Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
  • B. hasThematicConcern
    Indicates that one entity (such as a work, text, or discourse) centrally involves, addresses, or focuses on a particular theme, issue, or subject as a primary concern.
  • C. hasEmphasis chosen
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • D. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • E. hasThematicSimilarityTo
    Indicates that two entities share related themes, topics, or conceptual content to a notable degree.
  • 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_69f76ecf39c081909baffe597bb55273 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:18 p.m.