Triple

T20687854
Position Surface form Disambiguated ID Type / Status
Subject Lake Pihlajavesi E508467 entity
Predicate partOf P40 FINISHED
Object Saimaa 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: Saimaa | Statement: [Lake Pihlajavesi, partOf, Saimaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saimaa
Context triple: [Lake Pihlajavesi, partOf, Saimaa]
  • A. Lake Saimaa chosen
    Lake Saimaa is Finland’s largest lake, a vast labyrinthine freshwater system in the southeast known for its intricate shoreline, islands, and the endangered Saimaa ringed seal.
  • B. Kiuruvesi
    Kiuruvesi is a small town and municipality in eastern Finland known for its rural landscapes and agricultural traditions.
  • C. Lake Vanajavesi
    Lake Vanajavesi is a large freshwater lake in southern Finland, known for its scenic surroundings and historical significance, including the nearby medieval Häme Castle.
  • D. Jyväsjärvi
    Jyväsjärvi is a lake in central Finland, situated in the city of Jyväskylä and bordered by several of its districts.
  • E. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.