Triple

T9101195
Position Surface form Disambiguated ID Type / Status
Subject Pegas Touristik E218158 entity
Predicate alternativeName P39 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 Touristik, alternativeName, PEGAS Touristik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEGAS Touristik
Context triple: [Pegas Touristik, alternativeName, 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. Travelers Group
    Travelers Group was a major American financial services conglomerate that became best known for its landmark 1998 merger with Citicorp to form Citigroup.
  • E. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • 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_69d030201a048190a3a1166d23c5ae67 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:15 p.m.