Triple

T13088293
Position Surface form Disambiguated ID Type / Status
Subject Balkan Bulgarian Airlines E310392 entity
Predicate operatedFromAirport P31126 FINISHED
Object Plovdiv Airport E719427 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: Plovdiv Airport | Statement: [Balkan Bulgarian Airlines, operatedFromAirport, Plovdiv Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plovdiv Airport
Context triple: [Balkan Bulgarian Airlines, operatedFromAirport, Plovdiv Airport]
  • A. Plovdiv Airport chosen
    Plovdiv Airport is an international airport in southern Bulgaria serving the city of Plovdiv and the surrounding region, including access to nearby ski resorts.
  • B. Burgas Airport
    Burgas Airport is an international airport on Bulgaria’s Black Sea coast that serves the city of Burgas and nearby seaside resorts.
  • C. Varna Airport
    Varna Airport is an international airport serving the city of Varna and the surrounding Black Sea resort region in Bulgaria.
  • D. Sofia Airport
    Sofia Airport is the main international airport serving Bulgaria’s capital city, Sofia, and one of the country’s busiest air transport hubs.
  • E. Platov International Airport
    Platov International Airport is a major modern airport serving the city of Rostov-on-Don and the surrounding region in southern Russia.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:02 p.m.