Triple

T17273491
Position Surface form Disambiguated ID Type / Status
Subject Turku Airport E419324 entity
Predicate serves P98 FINISHED
Object Turku region E650263 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: Turku region | Statement: [Turku Airport, serves, Turku region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turku region
Context triple: [Turku Airport, serves, Turku region]
  • A. Turku region chosen
    The Turku region is a southwestern coastal area of Finland centered on the city of Turku, known as a major historical, cultural, and economic hub with important transport connections.
  • B. Tampere region
    The Tampere region is a major urban and economic area in southern Finland centered on the city of Tampere, known for its industry, technology, and cultural life.
  • C. Helsinki region
    The Helsinki region is the metropolitan area surrounding Finland’s capital city, encompassing Helsinki and its neighboring municipalities as a central hub for politics, culture, and economic activity.
  • D. Kuopio region
    The Kuopio region is a central area of Eastern Finland known for its lakes, forests, and the city of Kuopio as its main urban and economic hub.
  • E. Jyväskylä region
    The Jyväskylä region is a central Finnish area known for its lakes, forests, and the city of Jyväskylä, a major hub of education, culture, and technology.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4c209c81909c713ed78f2cb19a completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:40 a.m.