Triple

T30016763
Position Surface form Disambiguated ID Type / Status
Subject India–Bhutan relations E762616 entity
Predicate IndiaSupports P10546 FINISHED
Object Bhutan’s Five Year Plans 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: Bhutan’s Five Year Plans | Statement: [India–Bhutan relations, IndiaSupports, Bhutan’s Five Year Plans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: IndiaSupports
Context triple: [India–Bhutan relations, IndiaSupports, Bhutan’s Five Year Plans]
  • A. IndiaProvides
    Indicates that India supplies, offers, or makes available some resource, service, or benefit to another entity.
  • B. supportsCountry chosen
    Indicates that one entity provides assistance, endorsement, or backing to a specific country.
  • C. declaresIndiaAs
    Indicates that a subject formally designates or proclaims something or someone as India.
  • D. diplomaticSupportFrom
    Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
  • E. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • 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_69f67f7efc3c8190986d2d95b7a23729 completed May 2, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 6:46 p.m.