Triple

T5971506
Position Surface form Disambiguated ID Type / Status
Subject Russia and Mongolia E132883 entity
Predicate religiousLinks P2154 FINISHED
Object Tibetan Buddhism traditions shared across the border 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: Tibetan Buddhism traditions shared across the border | Statement: [Russia and Mongolia, religiousLinks, Tibetan Buddhism traditions shared across the border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousLinks
Context triple: [Russia and Mongolia, religiousLinks, Tibetan Buddhism traditions shared across the border]
  • A. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • B. religiousElement chosen
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • C. religiousTopicAddressed
    Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
  • D. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • E. subjectReligion
    Indicates that the subject is associated with, practices, or adheres to a particular religion.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc2243c8190bd3488e7b24af985 completed March 22, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69c049dcb3c081908ccc9b4d4b210229 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:03 p.m.