Triple

T8770154
Position Surface form Disambiguated ID Type / Status
Subject Turku Cemetery E208437 entity
Predicate hasNotableBurial P196 FINISHED
Object Paavo Nurmi E40751 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: Paavo Nurmi | Statement: [Turku Cemetery, hasNotableBurial, Paavo Nurmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paavo Nurmi
Context triple: [Turku Cemetery, hasNotableBurial, Paavo Nurmi]
  • A. Paavo Nurmi chosen
    Paavo Nurmi was a legendary Finnish middle- and long-distance runner, nicknamed the "Flying Finn," who won nine Olympic gold medals in the 1920s.
  • B. Emil Zátopek
    Emil Zátopek was a legendary Czech long-distance runner renowned for his multiple Olympic gold medals and pioneering, brutally intense training methods.
  • C. Maila Nurmi
    Maila Nurmi was a Finnish-American actress and television personality best known for creating and portraying the iconic 1950s horror hostess character Vampira.
  • D. Peter Snell
    Peter Snell is a British film producer best known for his work on notable 1970s films, including the cult horror classic "The Wicker Man."
  • E. Ray Ewry
    Ray Ewry was an American track and field athlete famed for dominating the standing jump events in the early modern Olympic Games, winning multiple gold medals between 1900 and 1908.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eedc7188190a67d959b9af53837 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0022748190a89322201abe2cf8 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:41 p.m.