Triple

T9857326
Position Surface form Disambiguated ID Type / Status
Subject Lublin Airport E239619 entity
Predicate hasOfficialName P66 FINISHED
Object Port Lotniczy Lublin E239619 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: Port Lotniczy Lublin | Statement: [Lublin Airport, hasOfficialName, Port Lotniczy Lublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Lotniczy Lublin
Context triple: [Lublin Airport, hasOfficialName, Port Lotniczy Lublin]
  • A. Lublin Airport chosen
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • B. 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.
  • C. 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.
  • D. Warsaw Municipal Airport
    Warsaw Municipal Airport is a public-use airport serving general aviation needs for the city of Warsaw in Kosciusko County, Indiana.
  • E. 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.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39864188190a2d8c0ee911f00c2 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.