Triple

T20231000
Position Surface form Disambiguated ID Type / Status
Subject Lakeland Finland E495523 entity
Predicate partOf P40 FINISHED
Object Finland 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: Finland | Statement: [Lakeland Finland, partOf, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finland
Context triple: [Lakeland Finland, partOf, Finland]
  • A. Finland chosen
    Finland is a Nordic country in Northern Europe known for its extensive forests and lakes, high standard of living, strong welfare state, and history that includes fighting in World War II and maintaining a policy of military non-alignment during the Cold War.
  • B. Finlandia
    Finlandia is a symphonic tone poem by Jean Sibelius, renowned as a powerful expression of Finnish national identity and resistance.
  • C. Sweden and Finland
    Sweden and Finland are two neighboring Nordic countries in Northern Europe known for their advanced welfare systems, high quality of life, and extensive shared border.
  • D. Puolanka
    Puolanka is a small rural municipality in the Kainuu region of northern Finland, known for its scenic nature and self-deprecating “pessimism” tourism theme.
  • E. Pernå, Finland
    Pernå is a former rural municipality in southern Finland, historically notable as the birthplace of Reformation-era bishop and Finnish literary pioneer Michael Agricola.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdce9d081909752a6a1e15283ba completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.