Triple

T7001389
Position Surface form Disambiguated ID Type / Status
Subject Cussegl naziunal E162343 entity
Predicate electoralDistrictsBasedOn P9598 FINISHED
Object cantons of Switzerland 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: cantons of Switzerland | Statement: [Cussegl naziunal, electoralDistrictsBasedOn, cantons of Switzerland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralDistrictsBasedOn
Context triple: [Cussegl naziunal, electoralDistrictsBasedOn, cantons of Switzerland]
  • A. eachDistrictElects
    Indicates that every electoral district selects or chooses its own representative or set of representatives.
  • B. hasElectoralDistricts
    Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
  • C. electoralDistrictType
    Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
  • D. electoralConstituencies chosen
    Indicates a relationship where a geographic or political area is divided into specific electoral constituencies used for representation or voting.
  • E. electoralBasis
    Indicates the principle, rule, or criterion by which representatives or officials are chosen in an election.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc0f8830819091f4356296234713 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c67c94819084fdcf0398606027 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:33 p.m.