Triple

T20239504
Position Surface form Disambiguated ID Type / Status
Subject Lake Päijänne E498243 entity
Predicate hasTownOnShore P969 FINISHED
Object Toivakka 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: Toivakka | Statement: [Lake Päijänne, hasTownOnShore, Toivakka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toivakka
Context triple: [Lake Päijänne, hasTownOnShore, Toivakka]
  • A. Toivakka chosen
    Toivakka is a small rural municipality in Central Finland known for its lakes, forests, and traditional Finnish countryside.
  • B. Toivi
    Toivi is the given name of Toivi Blatt, a Polish-born Jewish survivor of the Sobibor extermination camp and later memoirist.
  • C. Veikko
    Veikko is a Finnish masculine given name commonly borne by notable figures in politics, sports, and the arts.
  • D. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • E. Paasio
    Paasio is a Finnish surname most notably associated with Rafael Paasio, a prominent 20th-century Finnish Social Democratic politician and former Prime Minister.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716dd0b081909d4063150cdc0c02 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.