Triple

T37347441
Position Surface form Disambiguated ID Type / Status
Subject Renfrewshire South E927216 entity
Predicate additionalMembersSystem P73283 FINISHED
Object mixed-member 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: mixed-member proportional representation | Statement: [Renfrewshire South, additionalMembersSystem, mixed-member proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: additionalMembersSystem
Context triple: [Renfrewshire South, additionalMembersSystem, mixed-member proportional representation]
  • A. additionalMembersFrom
    Indicates that some members are included or derived from an additional source or group beyond the primary set.
  • B. additionalMembersMethod chosen
    Indicates the method or process by which additional members are added or included in a group, system, or structure.
  • C. additionalMembersAllowed
    Indicates that more members are permitted to be added beyond those already included or initially specified.
  • D. numberOfAdditionalMembers
    Indicates the count of extra members associated with an entity beyond its primary or standard membership.
  • E. multiMember
    Indicates that an entity participates as a member in more than one group, collection, or organizational unit simultaneously.
  • 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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb9e1845e881908d19158440cf3b87 completed May 6, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69fb8d08d6988190a00794ac26078348 completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:16 p.m.