Triple

T13336571
Position Surface form Disambiguated ID Type / Status
Subject Tuusula E317708 entity
Predicate hasMunicipalCenter P1474 FINISHED
Object Hyrylä
Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
 E1056495 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: Hyrylä | Statement: [Tuusula, hasMunicipalCenter, Hyrylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hyrylä
Context triple: [Tuusula, hasMunicipalCenter, Hyrylä]
  • A. Hyrynsalmi
    Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
  • B. 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.
  • C. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • D. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • E. Tuonela
    Tuonela is the realm of the dead in Finnish mythology, often portrayed as a dark, river-bound underworld in the national epic Kalevala.
  • 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: Hyrylä
Triple: [Tuusula, hasMunicipalCenter, Hyrylä]
Generated description
Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hyrylä
Target entity description: Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
  • A. Hyrynsalmi
    Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
  • B. 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.
  • C. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • D. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • E. Tuonela
    Tuonela is the realm of the dead in Finnish mythology, often portrayed as a dark, river-bound underworld in the national epic Kalevala.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d360c60819086a8168bdc092e1c completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79db9710c8190969503e28e2cda46 completed May 3, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69f79e1dcc9481908a22dfd74445bc89 completed May 3, 2026, 7:12 p.m.
Created at: April 9, 2026, 9:31 p.m.