Triple

T14122791
Position Surface form Disambiguated ID Type / Status
Subject Bella Center E339943 entity
Predicate nearbyAirport P350 FINISHED
Object Copenhagen Airport E67497 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: Copenhagen Airport | Statement: [Bella Center, nearbyAirport, Copenhagen Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Airport
Context triple: [Bella Center, nearbyAirport, Copenhagen Airport]
  • A. Copenhagen Airport Kastrup chosen
    Copenhagen Airport Kastrup is Denmark’s largest and busiest international airport, serving as the main air hub for Copenhagen and much of Scandinavia.
  • B. Hans Christian Andersen Airport
    Hans Christian Andersen Airport is a regional airport serving the city of Odense on the island of Funen in Denmark.
  • C. Bern Airport
    Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international flights.
  • D. Roskilde Airport
    Roskilde Airport is a regional airport in Denmark serving the city of Roskilde and the greater Copenhagen area, primarily handling general aviation, training flights, and some commercial traffic.
  • E. Midtjyllands Airport
    Midtjyllands Airport is a regional airport in central Jutland, Denmark, serving domestic and limited international flights for the surrounding Midtjylland area.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d756bb48190ae5598e48b281f71 completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 10:22 p.m.