Triple

T13815460
Position Surface form Disambiguated ID Type / Status
Subject Helsinki region E332002 entity
Predicate hasAirport P105 FINISHED
Object Helsinki Airport E87879 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: Helsinki Airport | Statement: [Helsinki region, hasAirport, Helsinki Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helsinki Airport
Context triple: [Helsinki region, hasAirport, Helsinki Airport]
  • A. Helsinki Airport chosen
    Helsinki Airport is Finland’s main international air hub, located near Helsinki and serving as a major gateway between Europe and Asia.
  • B. Turku Airport
    Turku Airport is an international airport in southwestern Finland serving the city of Turku and the surrounding region with passenger and cargo flights.
  • C. Tampere–Pirkkala Airport
    Tampere–Pirkkala Airport is a Finnish international airport serving the Tampere region, handling both civilian air traffic and military operations.
  • D. Tiksi Airport
    Tiksi Airport is a remote Arctic airport in northern Russia that serves the settlement of Tiksi and functions as a key regional and military airfield in the Sakha Republic.
  • E. Lappeenranta Airport
    Lappeenranta Airport is a regional airport in southeastern Finland that serves the city of Lappeenranta and provides both domestic and international flight connections.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.