Triple

T11095353
Position Surface form Disambiguated ID Type / Status
Subject LOT Polish Airlines E262362 entity
Predicate focusCity P164 FINISHED
Object Rzeszów–Jasionka Airport E121065 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: Rzeszów–Jasionka Airport | Statement: [LOT Polish Airlines, focusCity, Rzeszów–Jasionka Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rzeszów–Jasionka Airport
Context triple: [LOT Polish Airlines, focusCity, Rzeszów–Jasionka Airport]
  • A. Rzeszów–Jasionka Airport chosen
    Rzeszów–Jasionka Airport is an international airport in southeastern Poland serving the city of Rzeszów and the surrounding Subcarpathian region.
  • B. Kielce-Masłów Airport
    Kielce-Masłów Airport is a small regional airport in the Świętokrzyskie Voivodeship of Poland serving the city of Kielce and surrounding areas.
  • C. Lutsk Airport
    Lutsk Airport is a regional civil and military airfield serving the city of Lutsk and the surrounding area in western Ukraine.
  • D. Katowice Airport
    Katowice Airport is an international airport in southern Poland serving the Silesian region with domestic and European flights.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbfe70fc8190adf97e3ea7d06527 completed April 19, 2026, 12:35 p.m.
Created at: April 8, 2026, 9:27 p.m.