Triple

T38161203
Position Surface form Disambiguated ID Type / Status
Subject Members of the Scottish Parliament E953021 entity
Predicate votingSystemGoal P4658 FINISHED
Object proportional representation of parties 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 of parties | Statement: [Members of the Scottish Parliament, votingSystemGoal, proportional representation of parties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: votingSystemGoal
Context triple: [Members of the Scottish Parliament, votingSystemGoal, proportional representation of parties]
  • A. politicalGoal chosen
    Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
  • B. votingControl
    Indicates that one entity has the power to determine or significantly influence the outcome of decisions made by another entity through its voting rights.
  • C. votingBasis
    Indicates the principle, criterion, or grounds on which a vote or voting decision is made.
  • D. electoralPurpose
    Indicates that something is intended, designed, or used for the purposes of an election or electoral process.
  • E. goalInDebate
    Indicates that one party has a specific objective or desired outcome they are trying to achieve within the context of a debate or argumentative exchange.
  • 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_69f76f0b93c48190a117319ab3a9f282 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:21 p.m.