Triple

T8848
Position Surface form Disambiguated ID Type / Status
Subject Government of Japan E176 entity
Predicate legislatureType P220 FINISHED
Object bicameral legislature 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: bicameral legislature | Statement: [Government of Japan, legislatureType, bicameral legislature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislatureType
Context triple: [Government of Japan, legislatureType, bicameral legislature]
  • A. legislature
    Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
  • B. lowerHouse
    Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
  • C. upperHouse
    Indicates that one entity functions as the higher or upper legislative chamber in relation to a given political or governmental system.
  • D. governmentType chosen
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • E. 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).
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a240b249788190af8dbf7e80e9c91b completed Feb. 28, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69a23fe52ec48190a4d24101c91434ed completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.