Triple

T3276403
Position Surface form Disambiguated ID Type / Status
Subject G5 Sahel E68767 entity
Predicate hasDevelopmentDimension P47059 FINISHED
Object rural 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: rural development | Statement: [G5 Sahel, hasDevelopmentDimension, rural development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDevelopmentDimension
Context triple: [G5 Sahel, hasDevelopmentDimension, rural development]
  • A. hasDevelopmentType
    Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
  • B. hasDevelopmentSystem
    Indicates that one entity possesses, uses, or is associated with a particular system, platform, or environment used for development activities.
  • C. hasDevelopmentOrganization
    Indicates that an entity is associated with, managed by, or supported by a specific organization responsible for its development.
  • D. developedThrough
    Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
  • E. developedWithin
    Indicates that something was created, produced, or brought into existence inside a specified context, boundary, or time frame.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69ada420167c81909b6e2702db296d9e completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:10 p.m.