Triple

T16913910
Position Surface form Disambiguated ID Type / Status
Subject Smartwings E410272 entity
Predicate hasSubsidiary P254 FINISHED
Object Smartwings Hungary E410272 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: Smartwings Hungary | Statement: [Smartwings, hasSubsidiary, Smartwings Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smartwings Hungary
Context triple: [Smartwings, hasSubsidiary, Smartwings Hungary]
  • A. Smartwings chosen
    Smartwings is a Czech low-cost airline based in Prague that operates scheduled and charter flights across Europe and to selected leisure destinations worldwide.
  • B. NI Hungary
    NI Hungary is the Hungarian branch of National Instruments, focusing on developing and supporting test, measurement, and automation solutions.
  • C. Budapest public transport unified tariff system
    The Budapest public transport unified tariff system is an integrated fare scheme that allows passengers to use a single ticket or pass across the city’s various public transport modes, including metro, buses, trams, and suburban rail.
  • D. E-CO Energi
    E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
  • E. Eneco
    Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3bb69081908805c30d50242eb6 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:30 a.m.