Triple

T17032067
Position Surface form Disambiguated ID Type / Status
Subject Aura River E413223 entity
Predicate sourceRegion P410 FINISHED
Object Loimaa region E767231 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: Loimaa region | Statement: [Aura River, sourceRegion, Loimaa region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loimaa region
Context triple: [Aura River, sourceRegion, Loimaa region]
  • A. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • B. Loimaa sub-region chosen
    Loimaa sub-region is an administrative and statistical area in Southwest Finland that includes several municipalities centered around the town of Loimaa.
  • C. Kouvola region
    The Kouvola region is an area in southeastern Finland centered around the city of Kouvola, known for its forests, lakes, and role as a regional transport and commercial hub.
  • D. Setomaa region
    Setomaa region is a culturally distinct border area between southeastern Estonia and Russia, known for its Seto people, unique traditions, and preservation of the South Estonian language.
  • E. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d9e7d481909d3d5bd241bd68f1 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ef70208190b26029511e91afb0 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:33 a.m.