Triple

T8741732
Position Surface form Disambiguated ID Type / Status
Subject Siberia Airlines E207518 entity
Predicate callsign P1565 FINISHED
Object SIBERIAN E207517 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: SIBERIAN | Statement: [Siberia Airlines, callsign, SIBERIAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIBERIAN
Context triple: [Siberia Airlines, callsign, SIBERIAN]
  • A. SIBERIAN chosen
    SIBERIAN is the radio callsign used by S7 Airlines, a major Russian airline based in Novosibirsk.
  • B. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • C. Siberia
    Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
  • D. Sakha
    Sakha is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • E. Siberian Prikaz
    The Siberian Prikaz was a central administrative office of the Russian Tsardom responsible for governing and managing the affairs of Siberia before its reorganization into the Siberian Governorate.
  • 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_69cf42f282e48190ad158063e265e0f0 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.