Triple

T10593601
Position Surface form Disambiguated ID Type / Status
Subject Zimbabwean presidential election, 2002 E250052 entity
Predicate oppositionAllegation P38117 FINISHED
Object vote rigging 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: vote rigging | Statement: [Zimbabwean presidential election, 2002, oppositionAllegation, vote rigging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oppositionAllegation
Context triple: [Zimbabwean presidential election, 2002, oppositionAllegation, vote rigging]
  • A. allegedByOpponents chosen
    Indicates that a claim or accusation is made by opponents of the subject.
  • B. opposition
    Indicates a relationship in which one entity actively resists, disagrees with, or is positioned against another entity, idea, or action.
  • C. oppositionActivity
    Indicates that one entity engages in actions or behaviors that resist, counter, or work against another entity, its goals, or its activities.
  • D. hasAllegationsOf
    Indicates that one entity is accused or suspected of engaging in certain actions, behaviors, or misconduct, but without implying that these accusations are proven.
  • E. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69d5190a6dfc819088262957551808a1 completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:40 p.m.