Triple

T27573403
Position Surface form Disambiguated ID Type / Status
Subject Atta Muhammad Nur E696092 entity
Predicate securityBase P164824 FINISHED
Object Balkh provincial police and militias NE NERFINISHED

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: Balkh provincial police and militias | Statement: [Atta Muhammad Nur, securityBase, Balkh provincial police and militias]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityBase
Context triple: [Atta Muhammad Nur, securityBase, Balkh provincial police and militias]
  • A. securityBasisFor
    Indicates that one entity serves as the justification, foundation, or underlying reason for the security of another entity.
  • B. securityAspect
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • C. securityDependence chosen
    Indicates a relationship where one entity relies on another to ensure its safety, protection, or defense from threats.
  • D. securityAccess
    Indicates that one entity has permission, authorization, or the ability to access or interact with another entity in a security-controlled context.
  • E. securityPillar
    Indicates that one entity functions as a foundational security pillar or core security domain in relation to 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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 27, 2026, 1:44 p.m.