Triple

T1889718
Position Surface form Disambiguated ID Type / Status
Subject GVA E41842 entity
Predicate refersTo P37 FINISHED
Object Geneva Airport E6559 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: Geneva Airport | Statement: [GVA, refersTo, Geneva Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva Airport
Context triple: [GVA, refersTo, Geneva Airport]
  • A. Geneva Airport chosen
    Geneva Airport is a major international airport in western Switzerland serving the city of Geneva and the surrounding region, including access to the Alps and neighboring France.
  • B. Zurich Airport
    Zurich Airport is Switzerland’s largest and busiest international airport, serving as a major European aviation hub near the city of Zurich.
  • C. Sion Airport
    Sion Airport is a regional airport in the Swiss Alps that serves the town of Sion and nearby ski resorts, handling both civilian and military flights.
  • D. EuroAirport Basel–Mulhouse–Freiburg
    EuroAirport Basel–Mulhouse–Freiburg is a unique tri-national international airport jointly operated by France and Switzerland that serves the Basel, Mulhouse, and Freiburg region.
  • E. Strasbourg Airport
    Strasbourg Airport is an international airport serving the city of Strasbourg and the surrounding Alsace region in northeastern France.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb142e41881908fc7335673a9dec3 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf665bd48190b08ff5159333b99b completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.