Triple

T7534727
Position Surface form Disambiguated ID Type / Status
Subject Lugano E178117 entity
Predicate hasTransport P1298 FINISHED
Object Lugano Airport E503548 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: Lugano Airport | Statement: [Lugano, hasTransport, Lugano Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugano Airport
Context triple: [Lugano, hasTransport, Lugano Airport]
  • A. Lugano Airport (regional) chosen
    Lugano Airport (regional) is a small regional airport in southern Switzerland that primarily serves domestic and short-haul European flights for the Ticino region.
  • B. Aosta Valley Airport
    Aosta Valley Airport is a small regional airport in Italy’s Aosta Valley that serves as an access point to the surrounding Alpine region and its ski resorts.
  • C. Zurich Airport
    Zurich Airport is Switzerland’s largest and busiest international airport, serving as a major European aviation hub near the city of Zurich.
  • D. Bern-Belp Airport
    Bern-Belp Airport is a small regional airport serving the city of Bern, Switzerland, primarily handling domestic and short-haul European flights.
  • E. Samedan Airport
    Samedan Airport is a high-altitude regional airport in Switzerland serving the Engadin valley and the resort town of St. Moritz, known for its challenging alpine approach.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84a9d28819084ebfc44fcb2c29c completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f0765b48190b8df68f22c8901f4 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.