Triple

T22394984
Position Surface form Disambiguated ID Type / Status
Subject Council of Ministers to Lok Sabha E553605 entity
Predicate canIncludeNonMembersFor P147489 FINISHED
Object maximum six months 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: maximum six months | Statement: [Council of Ministers to Lok Sabha, canIncludeNonMembersFor, maximum six months]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canIncludeNonMembersFor
Context triple: [Council of Ministers to Lok Sabha, canIncludeNonMembersFor, maximum six months]
  • A. requiresConditionForNonMembers
    Indicates that a certain condition must be met specifically by non-members in order for an action, access, or relationship to occur.
  • B. includeMember
    Indicates that one entity contains or has another entity as a member or part of its composition.
  • C. eligibleMembers
    Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
  • D. hasNonParticipatingMember
    Indicates that a group or organization includes at least one member who belongs to it but does not actively participate in its activities or functions.
  • E. hasNonBorrowingMembers
    Indicates that an entity has members who are not involved in borrowing (e.g., do not take loans or credit) within the specified context.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585dac3c8190bc221f35b3eefa3f completed April 29, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69e73015484c8190a9a0b9f554b61a81 completed April 21, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e73597b51c8190aeff27f4779b82f3 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 8:45 p.m.