Triple

T20369136
Position Surface form Disambiguated ID Type / Status
Subject LPP E496998 entity
Predicate refersTo P37 FINISHED
Object Lappeenranta 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: Lappeenranta Airport | Statement: [LPP, refersTo, Lappeenranta Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lappeenranta Airport
Context triple: [LPP, refersTo, Lappeenranta Airport]
  • A. Lappeenranta Airport chosen
    Lappeenranta Airport is a regional airport in southeastern Finland that serves the city of Lappeenranta and provides both domestic and international flight connections.
  • B. Seinäjoki Airport
    Seinäjoki Airport is a regional airport in western Finland serving the city of Seinäjoki and the surrounding South Ostrobothnia area.
  • C. Pori Airport
    Pori Airport is a regional airport in Pori, Finland, serving domestic flights, pilot training, and general aviation.
  • D. Tampere–Pirkkala Airport
    Tampere–Pirkkala Airport is a Finnish international airport serving the Tampere region, handling both civilian air traffic and military operations.
  • E. Kokkola-Pietarsaari Airport
    Kokkola-Pietarsaari Airport is a regional airport in western Finland serving the cities of Kokkola and Pietarsaari 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787454a88190ae87d9b3c9b5ad27 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.