Triple

T13336563
Position Surface form Disambiguated ID Type / Status
Subject Tuusula E317708 entity
Predicate formerHomeOf P4907 FINISHED
Object Juhani Aho E920984 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: Juhani Aho | Statement: [Tuusula, formerHomeOf, Juhani Aho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juhani Aho
Context triple: [Tuusula, formerHomeOf, Juhani Aho]
  • A. Juhani Aho chosen
    Juhani Aho was a Finnish author and journalist, regarded as one of Finland’s most important early modern writers and a key figure in the development of Finnish-language literature.
  • B. Kalevi Aho
    Kalevi Aho is a Finnish contemporary composer renowned for his expansive symphonic output, concertos, and works often inspired by Finnish literature and mythology.
  • C. Esko Aho
    Esko Aho is a Finnish politician who served as Prime Minister in the early 1990s and later became known for his roles in business and academia.
  • D. Heikki Mannila
    Heikki Mannila is a Finnish computer scientist known for his influential research in data mining and machine learning, including foundational work on pattern discovery and exploratory data analysis.
  • E. Juris Hartmanis
    Juris Hartmanis was a pioneering computer scientist best known for co-founding the field of computational complexity theory and sharing the 1993 Turing Award for his fundamental contributions.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.