Triple

T19822920
Position Surface form Disambiguated ID Type / Status
Subject Lake Pyhäjärvi (Tampere) E476243 entity
Predicate inflow P415 FINISHED
Object Tammerkoski 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: Tammerkoski | Statement: [Lake Pyhäjärvi (Tampere), inflow, Tammerkoski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammerkoski
Context triple: [Lake Pyhäjärvi (Tampere), inflow, Tammerkoski]
  • A. Tammerkoski chosen
    Tammerkoski is a rapid-flowing channel in Tampere, Finland, that connects two lakes and historically powered the city’s industrial development.
  • B. Tuusniemi
    Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • C. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • D. Kokemäki
    Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
  • E. 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.
  • 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.