Triple

T6127619
Position Surface form Disambiguated ID Type / Status
Subject State Legislative Assemblies E136631 entity
Predicate minimumMembership P9344 FINISHED
Object 60 members (general rule) 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: 60 members (general rule) | Statement: [State Legislative Assemblies, minimumMembership, 60 members (general rule)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumMembership
Context triple: [State Legislative Assemblies, minimumMembership, 60 members (general rule)]
  • A. minimumNumberOfMembers chosen
    Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
  • B. minimumInstitutionalMembershipRequirement
    Indicates the lowest level or amount of institutional membership that must be met for the related condition, status, or participation to be valid.
  • C. minimumContribution
    Indicates the smallest allowable or required amount that an entity must contribute in a given context or relationship.
  • D. membershipRequired
    Indicates that access to or use of something is conditional on being a member of a specified group or organization.
  • E. limitedNumberOfMembers
    Indicates that the associated group or entity has a maximum allowed number of members or participants.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69c049fa905c8190b99eda54e9771b0b completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:15 p.m.