Triple

T6204309
Position Surface form Disambiguated ID Type / Status
Subject Yakovlev Yak-40 E138709 entity
Predicate operator P179 FINISHED
Object LOT Polish Airlines E50294 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: LOT Polish Airlines | Statement: [Yakovlev Yak-40, operator, LOT Polish Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOT Polish Airlines
Context triple: [Yakovlev Yak-40, operator, LOT Polish Airlines]
  • A. LOT Polish Airlines chosen
    LOT Polish Airlines is the flag carrier of Poland, operating an extensive network of domestic and international flights across Europe, Asia, and North America.
  • B. Polish Aviation Group
    Polish Aviation Group is a state-owned Polish aviation holding company that oversees LOT Polish Airlines and related aviation businesses.
  • C. Polish Airports State Enterprise
    Polish Airports State Enterprise is a state-owned company in Poland responsible for managing and operating major civil airports and related aviation infrastructure across the country.
  • D. Danziger Luftdienst
    Danziger Luftdienst was a regional German airline that later became part of Lufthansa’s regional operations under the name Lufthansa CityLine.
  • E. S7 Airlines
    S7 Airlines is a major Russian airline based in Novosibirsk that operates extensive domestic and international routes, particularly across Russia, Europe, and Asia.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626c23f481909d2b5b0a75c2ffff completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.