Triple

T13090201
Position Surface form Disambiguated ID Type / Status
Subject Northern Savonia E310441 entity
Predicate containsMunicipality P852 FINISHED
Object Tuusniemi
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
 E1044924 NE FINISHED

How this triple was built (4 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: Tuusniemi | Statement: [Northern Savonia, containsMunicipality, Tuusniemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuusniemi
Context triple: [Northern Savonia, containsMunicipality, Tuusniemi]
  • A. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • B. 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.
  • C. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • D. Tuompo
    Tuompo is a Finnish surname associated with individuals such as Wiljo Tuompo.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tuusniemi
Triple: [Northern Savonia, containsMunicipality, Tuusniemi]
Generated description
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuusniemi
Target entity description: Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • A. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • B. 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.
  • C. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • D. Tuompo
    Tuompo is a Finnish surname associated with individuals such as Wiljo Tuompo.
  • 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. chosen

Provenance (5 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75469a3f08190a7e417872147b455 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755d330c481909c159d3801c18f59 completed May 3, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69f756773b9c81908250ae7ffc2d8d99 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:03 p.m.