Triple

T416470
Position Surface form Disambiguated ID Type / Status
Subject Senate of Pakistan E8003 entity
Predicate hasNonVotingMembers P7005 FINISHED
Object 4 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: 4 | Statement: [Senate of Pakistan, hasNonVotingMembers, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNonVotingMembers
Context triple: [Senate of Pakistan, hasNonVotingMembers, 4]
  • A. hasNonvotingMember chosen
    Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
  • B. hasVotingMembers
    Indicates that certain entities are recognized as having individuals or units with the authority to vote within a group, body, or decision-making process.
  • C. hasMajorityPartyMembers
    Indicates that a group, body, or organization contains more members from a particular political party than from any other party, giving that party majority representation.
  • D. hasElectedMembers
    Indicates that an entity possesses members who have attained their positions through an election process.
  • E. hasNotableMember
    Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.