Triple

T6609916
Position Surface form Disambiguated ID Type / Status
Subject TUI fly Belgium E149210 entity
Predicate headquartersLocation P62 FINISHED
Object Zaventem E192168 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: Zaventem | Statement: [TUI fly Belgium, headquartersLocation, Zaventem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaventem
Context triple: [TUI fly Belgium, headquartersLocation, Zaventem]
  • A. Zaventem chosen
    Zaventem is a municipality in the Flemish Brabant province of Belgium, best known internationally as the site of Brussels Airport.
  • B. Brussels Airport
    Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
  • C. Brussels South Charleroi Airport
    Brussels South Charleroi Airport is a major low-cost international airport in Belgium, widely used by budget airlines and serving as an alternative to Brussels Airport.
  • D. Liège Airport
    Liège Airport is a major international cargo and passenger airport in eastern Belgium, known as one of Europe’s leading freight hubs.
  • E. Antwerp International Airport
    Antwerp International Airport is a small regional airport in Antwerp, Belgium, primarily serving short-haul European flights and general aviation.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3301dc819082d427675c36aaa6 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f7450dc8190881a9347b8b9475f completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 1:57 p.m.