Triple

T13432788
Position Surface form Disambiguated ID Type / Status
Subject Northern Finland E320153 entity
Predicate contains P35 FINISHED
Object Kainuu 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: Kainuu | Statement: [Northern Finland, contains, Kainuu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainuu
Context triple: [Northern Finland, contains, Kainuu]
  • A. Kainuu chosen
    Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
  • B. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • C. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • D. Kirkee
    Kirkee is a cantonment town near Pune in Maharashtra, India, historically notable as the site of a major Anglo-Maratha War battle.
  • E. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:40 p.m.