Triple

T12213662
Position Surface form Disambiguated ID Type / Status
Subject Portuguese state E291028 entity
Predicate electoralSystemForParliament P39112 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: [Portuguese state, electoralSystemForParliament, proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralSystemForParliament
Context triple: [Portuguese state, electoralSystemForParliament, proportional representation]
  • A. electoralSystemForLegislature chosen
    Indicates the type of electoral system used to choose members of a particular legislature.
  • B. electoralSystemConcerned
    Indicates that something is related to, affected by, or focused on a particular electoral system.
  • C. electoralSystemContext
    Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
  • D. electoralSystemJurisdiction
    Indicates the jurisdiction (such as a country, state, or region) within which a particular electoral system is applied or has authority.
  • E. electoralSystemWhenBorough
    Indicates the type of electoral system in use during the time when a specific borough existed or was in effect.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.