Triple

T21652352
Position Surface form Disambiguated ID Type / Status
Subject Vale do São Francisco E534368 entity
Predicate hasDevelopmentPrograms P14321 FINISHED
Object irrigation development projects 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: irrigation development projects | Statement: [Vale do São Francisco, hasDevelopmentPrograms, irrigation development projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDevelopmentPrograms
Context triple: [Vale do São Francisco, hasDevelopmentPrograms, irrigation development projects]
  • A. shareDevelopmentPrograms
    Indicates that one entity provides or participates in development programs jointly with another entity.
  • B. hasDevelopmentOrganization
    Indicates that an entity is associated with, managed by, or supported by a specific organization responsible for its development.
  • C. developmentProgram chosen
    Indicates a structured initiative or plan designed to improve, advance, or build the capabilities, resources, or conditions of a target group, system, or area over time.
  • D. developmentProgramName
    Indicates the specific name assigned to a development program associated with an entity or activity.
  • E. hasImprovementProgram
    Indicates that an entity is associated with, participates in, or is covered by a program specifically designed to improve its performance, condition, or quality.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:36 p.m.