Triple

T28437654
Position Surface form Disambiguated ID Type / Status
Subject Sumbawanga Rural District E715612 entity
Predicate hasPredominantly P160595 FINISHED
Object agricultural communities 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: agricultural communities | Statement: [Sumbawanga Rural District, hasPredominantly, agricultural communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPredominantly
Context triple: [Sumbawanga Rural District, hasPredominantly, agricultural communities]
  • A. hasPredominantCharacter
    Indicates that one entity possesses or exhibits a main or most characteristic feature, quality, or trait in relation to another entity or context.
  • B. isMostly
    Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
  • C. areMostly chosen
    Indicates that one group or set consists predominantly, but not entirely, of members that belong to another specified group or category.
  • D. hasDominantUse
    Indicates that one use or function of an entity is primary or prevailing over its other possible uses.
  • E. hasSexPredominance
    Indicates that one sex (male or female) is more commonly or predominantly associated with the given condition, trait, or occurrence than the other.
  • 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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69feced53a7c819098ec474fb7d514b0 completed May 9, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69fecd9cd5288190aac8b4e04a7ee78e completed May 9, 2026, 6:01 a.m.
Created at: April 28, 2026, 1:44 a.m.