Triple

T1702503
Position Surface form Disambiguated ID Type / Status
Subject Brussels Airport E36797 entity
Predicate hubFor P423 FINISHED
Object TUI fly Belgium E149210 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: TUI fly Belgium | Statement: [Brussels Airport, hubFor, TUI fly Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUI fly Belgium
Context triple: [Brussels Airport, hubFor, TUI fly Belgium]
  • A. TUI fly Belgium chosen
    TUI fly Belgium is a Belgian leisure airline that operates charter and scheduled flights to holiday destinations across Europe, Africa, and the Middle East.
  • B. TUI fly Netherlands
    TUI fly Netherlands is a Dutch leisure airline that operates charter and scheduled flights to holiday destinations across Europe, Africa, and the Caribbean.
  • C. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • D. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • E. Belgian Air Service
    The Belgian Air Service was the military aviation branch of Belgium during World War I, operating fighter and reconnaissance aircraft on the Western Front.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f0eb408190809d1f6496d38e0b completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8acc65588190b09cc3528ff19653 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.