Triple

T10443208
Position Surface form Disambiguated ID Type / Status
Subject WMI E246219 entity
Predicate refersTo P37 FINISHED
Object Warsaw Modlin Airport E48149 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 Modlin Airport | Statement: [WMI, refersTo, Warsaw Modlin Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw Modlin Airport
Context triple: [WMI, refersTo, Warsaw Modlin Airport]
  • A. Warsaw Modlin Airport chosen
    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. Warsaw Municipal Airport
    Warsaw Municipal Airport is a public-use airport serving general aviation needs for the city of Warsaw in Kosciusko County, Indiana.
  • C. Lublin Airport
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • D. Gdańsk Lech Wałęsa Airport
    Gdańsk Lech Wałęsa Airport is an international airport in northern Poland serving the Tricity metropolitan area and the broader Pomeranian region.
  • E. 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.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.