Triple

T9101244
Position Surface form Disambiguated ID Type / Status
Subject Pegas Fly E218159 entity
Predicate parentCompany P254 FINISHED
Object Pegas Touristik E218158 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: Pegas Touristik | Statement: [Pegas Fly, parentCompany, Pegas Touristik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegas Touristik
Context triple: [Pegas Fly, parentCompany, Pegas Touristik]
  • A. Pegas Touristik chosen
    Pegas Touristik is a major Russian tour operator offering package holidays and travel services across popular international and domestic destinations.
  • B. tour operator Pegas Touristik
    Pegas Touristik is a major Russian tour operator specializing in package holidays and charter flights to popular international and domestic destinations.
  • C. Halcón Viajes
    Halcón Viajes is a Spanish travel agency brand offering holiday packages, flights, and other travel services, and is part of the Globalia tourism group.
  • D. Avalon Travel
    Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
  • E. Puerto Rico Tourism Company
    The Puerto Rico Tourism Company is the government agency responsible for promoting and regulating Puerto Rico’s tourism industry and developing the island as a travel destination.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc971435d08190b5007ed44ac0a364 completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05449101481908c71475acf59b33c completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:15 p.m.