Triple

T9549565
Position Surface form Disambiguated ID Type / Status
Subject Loimaa E230383 entity
Predicate partOf P40 FINISHED
Object Southwest Finland region E40737 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: Southwest Finland region | Statement: [Loimaa, partOf, Southwest Finland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwest Finland region
Context triple: [Loimaa, partOf, Southwest Finland region]
  • A. Southwest Finland chosen
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • B. Turku region
    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.
  • C. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Central Finland
    Central Finland is a region in the heart of Finland known for its lakes, forests, and the city of Jyväskylä as its main urban and educational center.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e8a6567f14819086134cdf3a13aa9b completed April 22, 2026, 10:43 a.m.
Created at: March 30, 2026, 8:02 p.m.