Triple

T2495649
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Armed Forces E52146 entity
Predicate hasNuclearCapability P3063 FINISHED
Object yes 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: yes | Statement: [Pakistan Armed Forces, hasNuclearCapability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNuclearCapability
Context triple: [Pakistan Armed Forces, hasNuclearCapability, yes]
  • A. hasNuclearWeapons chosen
    Indicates that the subject possesses or controls nuclear weapons.
  • B. hasNuclearRole
    Indicates that an entity participates in, is responsible for, or holds authority related to nuclear activities, functions, or capabilities.
  • C. nuclearWeaponsState
    Indicates that a state possesses, has developed, or is recognized as having nuclear weapons capabilities.
  • D. nuclearArsenalStatus
    Indicates the condition or level of development, deployment, or readiness of an entity’s nuclear weapons capability.
  • E. nuclearWeaponsProgram
    Indicates the existence, development, or pursuit of a program related to the research, production, or maintenance of nuclear weapons.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.