Triple

T31688239
Position Surface form Disambiguated ID Type / Status
Subject Plan Maroc Vert E808717 entity
Predicate pillar2Focus P31 FINISHED
Object support for smallholder and solidarity-based agriculture 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: support for smallholder and solidarity-based agriculture | Statement: [Plan Maroc Vert, pillar2Focus, support for smallholder and solidarity-based agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pillar2Focus
Context triple: [Plan Maroc Vert, pillar2Focus, support for smallholder and solidarity-based agriculture]
  • A. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. book2Focus
    Indicates that attention, interest, or emphasis is directed toward a particular book.
  • C. partCFocus
    Indicates that a specific part or component of an entity is the primary focus or point of attention in a given context.
  • D. secondEditionFocus
    Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
  • E. structureFocus
    Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
  • 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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca3dedc81908b519d53d2909868 completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:07 p.m.