Triple

T19807499
Position Surface form Disambiguated ID Type / Status
Subject Świdnik E475852 entity
Predicate hasTransport P1298 FINISHED
Object Lublin Airport NE NERFINISHED

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: Lublin Airport | Statement: [Świdnik, hasTransport, Lublin Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lublin Airport
Context triple: [Świdnik, hasTransport, Lublin Airport]
  • A. Lublin Airport chosen
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • B. 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.
  • C. Warsaw Municipal Airport
    Warsaw Municipal Airport is a public-use airport serving general aviation needs for the city of Warsaw in Kosciusko County, Indiana.
  • D. Polacca Airport
    Polacca Airport is a small public-use airfield serving the community of Polacca and surrounding areas within the Hopi Reservation in northeastern Arizona.
  • E. Olsztyn-Mazury Airport
    Olsztyn-Mazury Airport is a regional international airport in northeastern Poland serving the Warmian-Masurian Voivodeship with domestic and limited international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.