Triple

T13090202
Position Surface form Disambiguated ID Type / Status
Subject Northern Savonia E310441 entity
Predicate containsMunicipality P852 FINISHED
Object Vesanto
Vesanto is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
 E1022704 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: Vesanto | Statement: [Northern Savonia, containsMunicipality, Vesanto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vesanto
Context triple: [Northern Savonia, containsMunicipality, Vesanto]
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Vääna
    Vääna is a village in northern Estonia known for its historic manor and coastal location near the capital, Tallinn.
  • C. Suintila
    Suintila was a 7th-century Visigothic king of Hispania known for consolidating royal power and completing the expulsion of the Byzantines from the Iberian Peninsula.
  • D. Nummela
    Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
  • E. 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.
  • 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: Vesanto
Triple: [Northern Savonia, containsMunicipality, Vesanto]
Generated description
Vesanto 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: Vesanto
Target entity description: Vesanto is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Vääna
    Vääna is a village in northern Estonia known for its historic manor and coastal location near the capital, Tallinn.
  • C. Suintila
    Suintila was a 7th-century Visigothic king of Hispania known for consolidating royal power and completing the expulsion of the Byzantines from the Iberian Peninsula.
  • D. Nummela
    Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
  • E. 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.
  • 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_69f6e27417308190b388be4a31ce4b5d completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e4774f4881908692c2d57158db4a completed May 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5630a5c8190bc17abac3cc6612e completed May 3, 2026, 6:04 a.m.
Created at: April 9, 2026, 9:03 p.m.