Triple

T4368739
Position Surface form Disambiguated ID Type / Status
Subject Bratislava Airport E98841 entity
Predicate hasHubFor P423 FINISHED
Object Smartwings Slovakia 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 Slovakia | Statement: [Bratislava Airport, hasHubFor, Smartwings Slovakia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smartwings Slovakia
Context triple: [Bratislava Airport, hasHubFor, Smartwings Slovakia]
  • 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. Eneco
    Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
  • C. Energetica
    Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
  • D. Ostredok
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • E. Vác
    Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352034d3881909ed4b2f9eef5e823 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbd1646c8190b7db5d9a9445633c completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.