Triple

T34865381
Position Surface form Disambiguated ID Type / Status
Subject Arusha Peace and Reconciliation Agreement for Burundi E1004993 entity
Predicate setsRatio P130187 FINISHED
Object 60% Hutu representation in National Assembly 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: 60% Hutu representation in National Assembly | Statement: [Arusha Peace and Reconciliation Agreement for Burundi, setsRatio, 60% Hutu representation in National Assembly]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: setsRatio
Context triple: [Arusha Peace and Reconciliation Agreement for Burundi, setsRatio, 60% Hutu representation in National Assembly]
  • A. definesRatio chosen
    Indicates that one entity specifies or establishes the proportional relationship (ratio) between two or more quantities or entities.
  • B. sideRatioLength
    Indicates the proportional relationship between the lengths of two or more sides in a geometric figure.
  • C. alternativeRatio
    Indicates the proportion or comparative share between different alternative options within a given context.
  • D. radiusRatio
    Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
  • E. representationRatio
    Indicates the proportional relationship between how much one entity represents, depicts, or stands in for another relative to some whole or reference amount.
  • 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.