Triple

T7174614
Position Surface form Disambiguated ID Type / Status
Subject South Karelia E167287 entity
Predicate hasMunicipality P847 FINISHED
Object Taipalsaari E119254 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: Taipalsaari | Statement: [South Karelia, hasMunicipality, Taipalsaari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taipalsaari
Context triple: [South Karelia, hasMunicipality, Taipalsaari]
  • A. Taipalsaari chosen
    Taipalsaari is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes along the shores of Lake Saimaa.
  • B. Taivassalo
    Taivassalo is a small coastal municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
  • C. Lauttasaari
    Lauttasaari is an island district of Helsinki, Finland, known for its residential areas, seaside parks, and easy access to the city center.
  • D. Vaajakoski
    Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
  • E. Taipale
    Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a38b608190bb87dd9af4fd3ef5 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:48 p.m.