Triple

T34985140
Position Surface form Disambiguated ID Type / Status
Subject Embassy of Belarus in Moscow E1008923 entity
Predicate representsBilateralRelationsBetween P15536 FINISHED
Object Belarus NE NERFINISHED

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: Belarus | Statement: [Embassy of Belarus in Moscow, representsBilateralRelationsBetween, Belarus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsBilateralRelationsBetween
Context triple: [Embassy of Belarus in Moscow, representsBilateralRelationsBetween, Belarus]
  • A. establishesBilateralRelationsBetween
    Indicates the action of formally creating mutual diplomatic or cooperative relations between two entities.
  • B. coordinatesBilateralRelationsBetween
    Indicates that one entity organizes, manages, or facilitates the diplomatic or cooperative relationship between two other entities.
  • C. bilateralRelation
    Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
  • D. bilateralRelationInvolves
    Indicates that a bilateral (two-party) relationship exists and specifically involves the referenced entities as its participants.
  • E. diplomaticRelation chosen
    Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff397e19a88190a945b826159f5290 completed May 9, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69ff392400d0819088d30d08d4a774bd completed May 9, 2026, 1:39 p.m.
Created at: May 3, 2026, 4:01 p.m.