Triple

T9539478
Position Surface form Disambiguated ID Type / Status
Subject Risto Ryti E230110 entity
Predicate precededBy P97 FINISHED
Object Kyösti Kallio E41097 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: Kyösti Kallio | Statement: [Risto Ryti, precededBy, Kyösti Kallio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyösti Kallio
Context triple: [Risto Ryti, precededBy, Kyösti Kallio]
  • A. Kyösti Kallio chosen
    Kyösti Kallio was a Finnish politician who served as the fourth President of Finland from 1937 to 1940, leading the country through the early stages of World War II.
  • B. Reijo Kela
    Reijo Kela is a Finnish performance and environmental artist known for large-scale, site-specific works that blend sculpture, landscape, and conceptual art.
  • C. Pertti Paasio
    Pertti Paasio was a Finnish Social Democratic politician who served as party leader and held several prominent parliamentary and ministerial roles in Finland.
  • D. Paavo Haavikko
    Paavo Haavikko was a prominent Finnish poet, playwright, and publisher, regarded as one of the most influential figures in 20th-century Finnish literature.
  • E. Hannu Heikkinen
    Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e4df6c8190a4d1160c42daa45f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3e92c4c819094cbd2661c425b7c completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:01 p.m.