Triple

T2400464
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Chopin Airport E47754 entity
Predicate alsoKnownAs P39 FINISHED
Object Okęcie Airport E47754 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: Okęcie Airport | Statement: [Warsaw Chopin Airport, alsoKnownAs, Okęcie Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okęcie Airport
Context triple: [Warsaw Chopin Airport, alsoKnownAs, Okęcie Airport]
  • A. Polonia International Airport
    Polonia International Airport was the former main airport serving Medan, Indonesia, before being replaced by Kualanamu International Airport.
  • B. 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.
  • C. Warsaw Chopin Airport chosen
    Warsaw Chopin Airport is Poland’s largest and busiest international airport, serving as the primary aviation hub for the capital city of Warsaw.
  • 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. Lublin Airport
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3d44b48190aa405ee612cdf57c completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.