Triple

T151690
Position Surface form Disambiguated ID Type / Status
Subject Chamberlain government E3443 entity
Predicate parliamentaryMajorityType P5588 FINISHED
Object large majority 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: large majority | Statement: [Chamberlain government, parliamentaryMajorityType, large majority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parliamentaryMajorityType
Context triple: [Chamberlain government, parliamentaryMajorityType, large majority]
  • A. 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.
  • B. majorityVote
    Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
  • C. hasMajorityWhip
    Indicates that one entity serves as the majority whip (the chief vote-counter and party discipline enforcer for the majority party) for another legislative body or group.
  • D. hasMinorityPartyMembers
    Indicates that the subject includes or is associated with members belonging to a minority political party.
  • E. dominantParty
    Indicates that one party in a relationship holds primary control, authority, or influence over the other.
  • F. None of above. chosen

Provenance (4 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a2565adaf48190b68ae4444ff83ccd completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256eb46ec81909c730000e5041d0d completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.