Triple

T19822921
Position Surface form Disambiguated ID Type / Status
Subject Lake Pyhäjärvi (Tampere) E476243 entity
Predicate inflow P415 FINISHED
Object Vanajavesi 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: Vanajavesi | Statement: [Lake Pyhäjärvi (Tampere), inflow, Vanajavesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanajavesi
Context triple: [Lake Pyhäjärvi (Tampere), inflow, Vanajavesi]
  • A. Vanajavesi chosen
    Vanajavesi is a prominent lake in southern Finland known for its scenic waterways, cultural heritage, and role in the Kokemäenjoki river basin.
  • B. Kuorevesi
    Kuorevesi is a locality in Finland known for hosting aviation industry activities, including facilities of the former state aircraft manufacturer Valtion Lentokonetehdas.
  • C. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • D. Petäjävesi
    Petäjävesi is a municipality in Central Finland known for its rural landscapes and the UNESCO-listed Petäjävesi Old Church, a notable example of traditional Nordic wooden architecture.
  • E. Vesontio
    Vesontio was the ancient Roman city that later became Besançon, an important urban and military center in the province of Germania Superior.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6550070c4819099e1f057b9a8849e completed April 20, 2026, 4:32 p.m.
Created at: April 10, 2026, 1:50 p.m.