Triple

T9529902
Position Surface form Disambiguated ID Type / Status
Subject Sakari Tuomioja E229860 entity
Predicate child P120 FINISHED
Object Erkki Tuomioja E232107 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: Erkki Tuomioja | Statement: [Sakari Tuomioja, child, Erkki Tuomioja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erkki Tuomioja
Context triple: [Sakari Tuomioja, child, Erkki Tuomioja]
  • A. Erkki Tuomioja chosen
    Erkki Tuomioja is a Finnish politician and long-serving Social Democratic Party member who has held multiple ministerial posts, including Minister for Foreign Affairs.
  • B. Hannu Heikkinen
    Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
  • C. 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.
  • D. 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.
  • E. Bertil Huttunen
    Bertil Huttunen was an architect associated with the design 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d597224481908154e5db47ae52f9 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8 p.m.