Triple

T416489
Position Surface form Disambiguated ID Type / Status
Subject Senate of Pakistan E8003 entity
Predicate hasReservedSeatsFor P9399 FINISHED
Object women 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: women | Statement: [Senate of Pakistan, hasReservedSeatsFor, women]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReservedSeatsFor
Context triple: [Senate of Pakistan, hasReservedSeatsFor, women]
  • A. hasReservedSeats chosen
    Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
  • B. hasSeat
    Indicates that one entity possesses, provides, or includes a seat for another entity.
  • C. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • D. hasClubSeats
    Indicates that an entity (such as a venue or section) includes or is equipped with club-level seating.
  • E. containsReservation
    Indicates that one entity includes or holds a reservation associated with another entity.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.