Triple

T22809689
Position Surface form Disambiguated ID Type / Status
Subject Rat für gegenseitige Wirtschaftshilfe E564638 entity
Predicate member P10 FINISHED
Object Bulgarien 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: Bulgarien | Statement: [Rat für gegenseitige Wirtschaftshilfe, member, Bulgarien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgarien
Context triple: [Rat für gegenseitige Wirtschaftshilfe, member, Bulgarien]
  • A. Bulgaria chosen
    Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of the European Union and NATO.
  • B. Vulgaria
    Vulgaria is a 2012 Hong Kong black comedy film known for its raunchy humor and satirical take on the local film industry.
  • C. Bulga
    Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • D. Romania and Bulgaria
    Romania and Bulgaria are neighboring countries in Southeastern Europe that share a historically contested border and are both members of the European Union and NATO.
  • E. Rumen
    Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5f1f348190a35e87939732c99f completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.