Triple

T188682
Position Surface form Disambiguated ID Type / Status
Subject South Africa E3669 entity
Predicate usesElectoralSystem P2726 FINISHED
Object proportional representation 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: proportional representation | Statement: [South Africa, usesElectoralSystem, proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesElectoralSystem
Context triple: [South Africa, usesElectoralSystem, proportional representation]
  • A. electionMethod
    Indicates the process or system used to select a candidate or make a decision in an election.
  • B. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • C. electoralStatus
    Indicates the current state or condition of an entity in relation to an election process (e.g., running, elected, defeated, or not a candidate).
  • D. votingMethod chosen
    Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
  • E. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594abeec8190a48f36817e647fcd completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25672332081909386f35f3ca15dd2 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.