Triple

T8741908
Position Surface form Disambiguated ID Type / Status
Subject Yamal Airlines E207523 entity
Predicate radioCallsign P1565 FINISHED
Object YAMAL E207523 NE 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: YAMAL | Statement: [Yamal Airlines, radioCallsign, YAMAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YAMAL
Context triple: [Yamal Airlines, radioCallsign, YAMAL]
  • A. YAMAL chosen
    YAMAL is the radio callsign used by Yamal Airlines, a Russian regional carrier operating passenger and cargo flights, primarily in northern Russia.
  • B. Yamal LNG
    Yamal LNG is a major liquefied natural gas production and export facility located in Russia’s Arctic Yamal Peninsula, known for operating in extreme cold and serving key European and Asian energy markets.
  • C. Arktikugol
    Arktikugol is a Russian state-owned coal mining company best known for operating mining settlements in the Svalbard archipelago.
  • D. Mirny
    Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
  • E. Daur
    The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d6fd5dc8190906b7147f27c5d46 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518750948190a42ad8fc352ac851 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:38 p.m.