Triple

T21285697
Position Surface form Disambiguated ID Type / Status
Subject Port of Kotka E524652 entity
Predicate locatedIn P40 FINISHED
Object Kymenlaakso 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: Kymenlaakso | Statement: [Port of Kotka, locatedIn, Kymenlaakso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kymenlaakso
Context triple: [Port of Kotka, locatedIn, Kymenlaakso]
  • A. Kymenlaakso chosen
    Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
  • B. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • C. Päijät-Häme
    Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
  • D. Kanta-Häme
    Kanta-Häme is a region in southern Finland known for its historic towns, lakes, and forests, with Hämeenlinna as its central city.
  • E. Mikkeli Province
    Mikkeli Province was a former administrative region in southeastern Finland centered around the city of Mikkeli, known for its lakes, forests, and role in Finland’s historical provincial system.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d658e08190ad2f267123d53ede completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.