Triple

T3849274
Position Surface form Disambiguated ID Type / Status
Subject China–Pakistan Economic Corridor E85249 entity
Predicate securityChallenge P31731 FINISHED
Object militancy in Balochistan 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: militancy in Balochistan | Statement: [China–Pakistan Economic Corridor, securityChallenge, militancy in Balochistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityChallenge
Context triple: [China–Pakistan Economic Corridor, securityChallenge, militancy in Balochistan]
  • A. security
    Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
  • B. challengeType chosen
    Indicates the specific category or kind of challenge associated with an action or relationship between entities.
  • C. securityCodename
    Indicates that an entity is assigned a specific codename used for security, confidentiality, or protective identification purposes.
  • D. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • E. securityAspect
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcde86081908cf3840ae002acfa completed March 9, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.