Triple

T7310394
Position Surface form Disambiguated ID Type / Status
Subject Attorney-General of Pakistan E168075 entity
Predicate canHoldOfficeOfProfit P5160 FINISHED
Object no 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: no | Statement: [Attorney-General of Pakistan, canHoldOfficeOfProfit, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canHoldOfficeOfProfit
Context triple: [Attorney-General of Pakistan, canHoldOfficeOfProfit, no]
  • A. canHoldOfficeDuringPleasureOf
    Indicates that one entity is permitted to occupy or exercise an office or position for as long as another specified entity continues to allow or desire it.
  • B. canAssumeOfficeOf
    Indicates that one entity is eligible or authorized to take on, enter into, or begin serving in a particular official position or role held by another entity.
  • C. membersMayHoldOtherOffices
    Indicates that individuals who are members of a given body or organization are permitted to simultaneously hold additional official positions or offices.
  • D. memberHoldsOffice
    Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
  • E. officeHoldersMustNot chosen
    Indicates that certain individuals are prohibited from holding specified offices or positions.
  • 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_69c6ebff866081909916796d1b72aee8 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.