Triple

T14931325
Position Surface form Disambiguated ID Type / Status
Subject Sápmi E372271 entity
Predicate partOf P40 FINISHED
Object Fennoscandia E86465 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: Fennoscandia | Statement: [Sápmi, partOf, Fennoscandia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fennoscandia
Context triple: [Sápmi, partOf, Fennoscandia]
  • A. Fennoscandia chosen
    Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
  • B. Scandinavia
    Scandinavia is a cultural and geographical region in Northern Europe, typically comprising Norway, Sweden, and Denmark, known for its high living standards, social welfare systems, and distinctive Nordic culture.
  • C. Norden
    Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • D. Norden
    Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
  • E. Scandinavian Peninsula
    The Scandinavian Peninsula is a large northern European landmass primarily occupied by Norway and Sweden, known for its rugged mountains, extensive forests, and deeply indented coastlines.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c728948190a1cfc62f4038b6ec completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.