Triple

T20854599
Position Surface form Disambiguated ID Type / Status
Subject bicameral Riksdag of Sweden E513446 entity
Predicate votingSystemInSecondChamber P142118 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: [bicameral Riksdag of Sweden, votingSystemInSecondChamber, proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: votingSystemInSecondChamber
Context triple: [bicameral Riksdag of Sweden, votingSystemInSecondChamber, proportional representation]
  • A. votingSystemChamber
    Indicates the specific legislative chamber in which a given voting system is used or applies.
  • B. votingSystemUpperHouse
    Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
  • C. hasVotingSystemLowerHouse
    Indicates that a political entity’s lower legislative chamber uses a specified voting or electoral system.
  • D. electoralSystemForLegislature
    Indicates the type of electoral system used to choose members of a particular legislature.
  • E. isSecondChamberSpeaker
    Indicates that the subject holds the position of speaker/presiding officer of a legislature’s second chamber (e.g., upper or lower house, depending on the system).
  • F. None of above. chosen

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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a7113c819087994bcdfe643bc1 completed April 21, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53c4d6881909b4d0a716fa5ed4a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:44 p.m.