Triple

T4694264
Position Surface form Disambiguated ID Type / Status
Subject Norwegian party system E104105 entity
Predicate usesElectoralFormula P39085 FINISHED
Object modified Sainte‑Laguë method E188686 NE FINISHED

How this triple was built (3 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: modified Sainte‑Laguë method | Statement: [Norwegian party system, usesElectoralFormula, modified Sainte‑Laguë method]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: modified Sainte‑Laguë method
Context triple: [Norwegian party system, usesElectoralFormula, modified Sainte‑Laguë method]
  • A. Sainte-Laguë method chosen
    The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
  • B. d’Hondt method
    The d’Hondt method is a highest-averages formula used in proportional representation systems to allocate seats or posts among parties based on their share of the vote.
  • C. Weighted Inclusive Gregory method
    The Weighted Inclusive Gregory method is a proportional vote-counting procedure used in some Single Transferable Vote elections that redistributes surplus votes from elected candidates using fractional, weighted transfers to maintain fairness and accuracy in representation.
  • D. largest remainder method
    The largest remainder method is a proportional representation electoral system that allocates seats by first assigning them according to full quotas of votes and then distributing remaining seats based on the largest leftover vote totals.
  • E. Droop quota
    The Droop quota is a mathematical threshold used in proportional representation elections to determine the minimum number of votes a candidate needs to be elected.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesElectoralFormula
Context triple: [Norwegian party system, usesElectoralFormula, modified Sainte‑Laguë method]
  • A. hasElectoralRule chosen
    Indicates that a political system, jurisdiction, or electoral body is governed or characterized by a specific electoral rule or voting system.
  • B. electionMethod
    Indicates the process or system used to select a candidate or make a decision in an election.
  • C. electoralBasis
    Indicates the principle, rule, or criterion by which representatives or officials are chosen in an election.
  • D. electoralSystemConcerned
    Indicates that something is related to, affected by, or focused on a particular electoral system.
  • E. usesProportionalRepresentation
    Indicates that an entity employs an electoral system in which legislative seats are allocated to parties or groups in proportion to the votes they receive.
  • F. None of above.

Provenance (4 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd66059bfc8190885d26d05dd38df1 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c093ac8190869aab6abcfd571f completed March 21, 2026, 2:34 a.m.
PD Predicate disambiguation batch_69bd6219da948190bbbb50f08573ab4d completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:17 p.m.