Triple

T7319362
Position Surface form Disambiguated ID Type / Status
Subject Radom E168498 entity
Predicate hasAirport P105 FINISHED
Object Warsaw-Radom Airport E657189 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: Warsaw-Radom Airport | Statement: [Radom, hasAirport, Warsaw-Radom Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw-Radom Airport
Context triple: [Radom, hasAirport, Warsaw-Radom Airport]
  • A. Warsaw Modlin Airport
    Warsaw Modlin Airport is a secondary international airport serving the Warsaw metropolitan area, primarily used by low-cost carriers and located northwest of the city.
  • B. Radom-Sadków Airport chosen
    Radom-Sadków Airport is a regional civil-military airport in Radom, Poland, serving domestic and limited international flights.
  • C. Lublin Airport
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • D. Łódź Władysław Reymont Airport
    Łódź Władysław Reymont Airport is a regional international airport in central Poland serving the city of Łódź and its surrounding area.
  • E. Białystok-Krywlany Airport
    Białystok-Krywlany Airport is a small regional airfield serving the city of Białystok in northeastern Poland, primarily used for general aviation and sport flying.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa78d8e08190a5658f2df7fbf667 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:02 p.m.