Triple

T7310222
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the National Assembly of Pakistan E168070 entity
Predicate tieBreakingRole P6631 FINISHED
Object casts deciding vote in the event of a tie 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: casts deciding vote in the event of a tie | Statement: [Speaker of the National Assembly of Pakistan, tieBreakingRole, casts deciding vote in the event of a tie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieBreakingRole
Context triple: [Speaker of the National Assembly of Pakistan, tieBreakingRole, casts deciding vote in the event of a tie]
  • A. tiebreaker chosen
    Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
  • B. tiebreakerGameLoser
    Indicates the player or team that lost a specific tiebreaker game used to resolve a tie in a competition or match.
  • C. maintainsTieWith
    Indicates that one entity keeps an ongoing connection or relationship with another entity over time.
  • D. spinOffRole
    Indicates that one role or position has been derived or created as a secondary or offshoot role from another original role.
  • E. trackRole
    Indicates that an entity holds or performs a specific role within the context of a particular track or sequence of activities.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebdbd6f481908e69e53dab452656 completed March 27, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69c6e7705f4881909793071dee50c557 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:01 p.m.