Triple

T7399334
Position Surface form Disambiguated ID Type / Status
Subject North Karelia E170704 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Nurmes
Nurmes is a small town and municipality in eastern Finland known for its lakeside scenery and traditional Karelian culture.
 E661484 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: Nurmes | Statement: [North Karelia, hasPopulationCenter, Nurmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nurmes
Context triple: [North Karelia, hasPopulationCenter, Nurmes]
  • A. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • B. Jõepere
    Jõepere is a village in Estonia known as the birthplace of the national writer Friedrich Reinhold Kreutzwald.
  • C. Tammneeme
    Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
  • D. Jõgõperä
    Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
  • E. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • 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: Nurmes
Triple: [North Karelia, hasPopulationCenter, Nurmes]
Generated description
Nurmes is a small town and municipality in eastern Finland known for its lakeside scenery and traditional Karelian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nurmes
Target entity description: Nurmes is a small town and municipality in eastern Finland known for its lakeside scenery and traditional Karelian culture.
  • A. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • B. Jõepere
    Jõepere is a village in Estonia known as the birthplace of the national writer Friedrich Reinhold Kreutzwald.
  • C. Tammneeme
    Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
  • D. Jõgõperä
    Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
  • E. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81106c0788190a3740acf7bb4ab86 completed March 28, 2026, 5:33 p.m.
NEDg Description generation batch_69c811e0ebec8190b394b1a2ff6ac5bf completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8127599188190af3d049a0c6dd349 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.