Triple

T12159001
Position Surface form Disambiguated ID Type / Status
Subject Central Finland E289654 entity
Predicate hasMunicipality P847 FINISHED
Object Keuruu
Keuruu is a town and municipality in the Central Finland region, known for its lakeside landscapes and historic wooden church.
 E967081 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: Keuruu | Statement: [Central Finland, hasMunicipality, Keuruu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keuruu
Context triple: [Central Finland, hasMunicipality, Keuruu]
  • A. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • B. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • C. Kihoku
    Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • D. Taipale
    Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
  • E. Kurikka
    Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
  • 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: Keuruu
Triple: [Central Finland, hasMunicipality, Keuruu]
Generated description
Keuruu is a town and municipality in the Central Finland region, known for its lakeside landscapes and historic wooden church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keuruu
Target entity description: Keuruu is a town and municipality in the Central Finland region, known for its lakeside landscapes and historic wooden church.
  • A. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • B. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • C. Kihoku
    Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • D. Taipale
    Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
  • E. Kurikka
    Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.