Triple

T1430041
Position Surface form Disambiguated ID Type / Status
Subject Suomussalmi E30421 entity
Predicate hasBorder P224 FINISHED
Object Kuhmo
Kuhmo is a town and municipality in eastern Finland known for its forests, lakes, and rich cultural life, including the renowned Kuhmo Chamber Music Festival.
 E172351 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: Kuhmo | Statement: [Suomussalmi, hasBorder, Kuhmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuhmo
Context triple: [Suomussalmi, hasBorder, Kuhmo]
  • A. Hailuoto
    Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
  • B. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • C. Kullö
    Kullö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • D. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • E. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • 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: Kuhmo
Triple: [Suomussalmi, hasBorder, Kuhmo]
Generated description
Kuhmo is a town and municipality in eastern Finland known for its forests, lakes, and rich cultural life, including the renowned Kuhmo Chamber Music Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuhmo
Target entity description: Kuhmo is a town and municipality in eastern Finland known for its forests, lakes, and rich cultural life, including the renowned Kuhmo Chamber Music Festival.
  • A. Hailuoto
    Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
  • B. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • C. Kullö
    Kullö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • D. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • E. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4db2d7481908d241593d0e17d83 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232534f48190b1392c2fba119b7c completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad244de35881908f37bf10fa9cf1c9 completed March 8, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69ad24aea1988190af6e847cc1842520 completed March 8, 2026, 7:26 a.m.
Created at: March 1, 2026, 8 p.m.