Triple

T18456239
Position Surface form Disambiguated ID Type / Status
Subject Northern Ostrobothnia E450908 entity
Predicate hasMunicipality P847 FINISHED
Object Pyhäntä
Pyhäntä is a small rural municipality in northern Finland known for its forests, lakes, and sparsely populated countryside.
 E1325015 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: Pyhäntä | Statement: [Northern Ostrobothnia, hasMunicipality, Pyhäntä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pyhäntä
Context triple: [Northern Ostrobothnia, hasMunicipality, Pyhäntä]
  • A. Pyhäranta
    Pyhäranta is a small coastal municipality in western Finland known for its rural landscapes and proximity to the Baltic Sea.
  • B. Pyhtää
    Pyhtää is a small coastal municipality in southeastern Finland known for its Baltic Sea shoreline and rural landscapes.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Hyrylä
    Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
  • E. Haapamäki
    Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
  • 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: Pyhäntä
Triple: [Northern Ostrobothnia, hasMunicipality, Pyhäntä]
Generated description
Pyhäntä is a small rural municipality in northern Finland known for its forests, lakes, and sparsely populated countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pyhäntä
Target entity description: Pyhäntä is a small rural municipality in northern Finland known for its forests, lakes, and sparsely populated countryside.
  • A. Pyhäranta
    Pyhäranta is a small coastal municipality in western Finland known for its rural landscapes and proximity to the Baltic Sea.
  • B. Pyhtää
    Pyhtää is a small coastal municipality in southeastern Finland known for its Baltic Sea shoreline and rural landscapes.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Hyrylä
    Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
  • E. Haapamäki
    Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe7cb0481908266ee813d99cf87 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a04118472a08190b450dfe756475687 completed May 13, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0412b3f2288190a4090ae5363f7d9f completed May 13, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:31 a.m.