Triple

T30016764
Position Surface form Disambiguated ID Type / Status
Subject India–Bhutan relations E762616 entity
Predicate securityCooperationIncludes P37951 FINISHED
Object border management 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: border management | Statement: [India–Bhutan relations, securityCooperationIncludes, border management]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityCooperationIncludes
Context triple: [India–Bhutan relations, securityCooperationIncludes, border management]
  • A. securityCooperationFormat
    Indicates the type or structure of collaborative security arrangements or mechanisms established between entities.
  • B. securityCooperatesWith
    Indicates that one security-related entity collaborates or works jointly with another on security matters or activities.
  • C. securityCollaboration chosen
    Indicates a cooperative relationship in which entities work together to plan, implement, or maintain security measures, policies, or defenses.
  • D. securityDependence
    Indicates a relationship where one entity relies on another to ensure its safety, protection, or defense from threats.
  • E. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • 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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 29, 2026, 6:46 p.m.