Triple

T1805074
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Lok Sabha E40201 entity
Predicate removalRequirement P100 FINISHED
Object effective majority of Lok Sabha 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: effective majority of Lok Sabha | Statement: [Speaker of the Lok Sabha, removalRequirement, effective majority of Lok Sabha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: removalRequirement
Context triple: [Speaker of the Lok Sabha, removalRequirement, effective majority of Lok Sabha]
  • A. removalMechanism
    Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
  • B. canBeRemovedBy
    Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
  • C. removedFrom
    Indicates that one entity has been taken away, extracted, or detached from another entity or context.
  • D. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • E. requires chosen
    Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba67721788190951beae25e885457 completed March 7, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69aa61d514c081908197ac1f7c7d7a88 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.