Triple

T30423789
Position Surface form Disambiguated ID Type / Status
Subject Embassy of Bosnia and Herzegovina in Moscow E773966 entity
Predicate establishesContactBetween P19362 FINISHED
Object Bosnia and Herzegovina 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: Bosnia and Herzegovina | Statement: [Embassy of Bosnia and Herzegovina in Moscow, establishesContactBetween, Bosnia and Herzegovina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: establishesContactBetween
Context triple: [Embassy of Bosnia and Herzegovina in Moscow, establishesContactBetween, Bosnia and Herzegovina]
  • A. createsRelationshipWith
    Indicates that one entity establishes or initiates a new relationship or association with another entity.
  • B. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. connectionTo
    Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
  • D. contactWith chosen
    Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
  • E. helpedConnect
    Indicates that one entity assisted in establishing or facilitating a connection or relationship between two or more other entities.
  • 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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 29, 2026, 8:06 p.m.