Triple

T18456242
Position Surface form Disambiguated ID Type / Status
Subject Northern Ostrobothnia E450908 entity
Predicate hasMunicipality P847 FINISHED
Object Tyrnävä
Tyrnävä is a rural municipality in northern Finland known for its agriculture, particularly high-quality potato cultivation.
 E1325016 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: Tyrnävä | Statement: [Northern Ostrobothnia, hasMunicipality, Tyrnävä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyrnävä
Context triple: [Northern Ostrobothnia, hasMunicipality, Tyrnävä]
  • A. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • B. Tauranum
    Tauranum was an ancient settlement located within the Roman administrative region of Samnium in Italy.
  • C. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • D. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • E. Talauma
    Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
  • 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: Tyrnävä
Triple: [Northern Ostrobothnia, hasMunicipality, Tyrnävä]
Generated description
Tyrnävä is a rural municipality in northern Finland known for its agriculture, particularly high-quality potato cultivation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyrnävä
Target entity description: Tyrnävä is a rural municipality in northern Finland known for its agriculture, particularly high-quality potato cultivation.
  • A. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • B. Tauranum
    Tauranum was an ancient settlement located within the Roman administrative region of Samnium in Italy.
  • C. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • D. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • E. Talauma
    Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
  • 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.