Triple

T21200455
Position Surface form Disambiguated ID Type / Status
Subject Ounasjoki E522440 entity
Predicate mouthOf P1008 FINISHED
Object Kemijoki 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: Kemijoki | Statement: [Ounasjoki, mouthOf, Kemijoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemijoki
Context triple: [Ounasjoki, mouthOf, Kemijoki]
  • A. Kemijoki chosen
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • B. Kymijoki
    Kymijoki is a major river in southern Finland that flows from Lake Päijänne to the Gulf of Finland, historically important for timber floating and hydroelectric power.
  • C. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • D. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • E. Kemijoki river
    The Kemijoki River is the longest river in Finland, flowing through Lapland and serving as a major source of hydroelectric power and natural resources.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.