Triple

T32627395
Position Surface form Disambiguated ID Type / Status
Subject Russia (Buryatia, Kalmykia, Tuva) E834094 entity
Predicate sharesReligiousInstitution P124843 FINISHED
Object Buddhist monasteries 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: Buddhist monasteries | Statement: [Russia (Buryatia, Kalmykia, Tuva), sharesReligiousInstitution, Buddhist monasteries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesReligiousInstitution
Context triple: [Russia (Buryatia, Kalmykia, Tuva), sharesReligiousInstitution, Buddhist monasteries]
  • A. religiousInstitutionShared chosen
    Indicates that two entities are associated with or participate in the same religious institution or organization.
  • B. religiousInstitutionLinked
    Indicates that there is an established connection or association between a religious institution and another entity.
  • C. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • D. religiousInstitutionInPlot
    Indicates that a religious institution (such as a church, temple, mosque, or similar place of worship) is present or involved within the spatial or narrative context of the plot.
  • E. sharesReligionWith
    Indicates that two entities follow or are associated with the same religion or religious tradition.
  • 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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff63225b6481909217ad11b4f7d3ba completed May 9, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69ff60e0882c819085d097010db43ee0 completed May 9, 2026, 4:29 p.m.
Created at: May 1, 2026, 1:06 a.m.