Triple

T6418349
Position Surface form Disambiguated ID Type / Status
Subject 2023 Spanish general election E127883 entity
Predicate typeOfSystem P15304 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: [2023 Spanish general election, typeOfSystem, proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSystem
Context triple: [2023 Spanish general election, typeOfSystem, proportional representation]
  • A. systemType chosen
    Indicates the classification or category of a system that an entity belongs to or operates as.
  • B. operatorSystem
    Indicates a relationship where one entity functions as the operating system that manages or controls another entity (such as a device, application, or system).
  • C. primarySystem
    Indicates that one system is designated as the main or most important system in relation to another system or context.
  • D. establishedSystem
    Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
  • E. hostSystem
    Indicates that one entity serves as the primary computing or operating environment in which another entity runs, is managed, or is contained.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068eb6c988190b54de6182d0f490d completed March 22, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69c060f5d4e481909d1366190607b586 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:42 p.m.