Triple

T22809691
Position Surface form Disambiguated ID Type / Status
Subject Rat für gegenseitige Wirtschaftshilfe E564638 entity
Predicate member P10 FINISHED
Object Albanien 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: Albanien | Statement: [Rat für gegenseitige Wirtschaftshilfe, member, Albanien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albanien
Context triple: [Rat für gegenseitige Wirtschaftshilfe, member, Albanien]
  • A. Albania chosen
    Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
  • B. Albanne
    Albanne is a small river in the Savoie department of southeastern France that flows through the area around Chambéry.
  • C. Albán
    Albán is a municipality and town in Colombia's Cundinamarca Department, known for its Andean landscape and agricultural activities.
  • D. Arbëria
    Arbëria is the historical cultural region of the Arbëreshë (Italo-Albanian) communities in southern Italy, known for preserving Albanian language and traditions since the Middle Ages.
  • E. Montenegro
    Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
  • 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.