Triple

T1321452
Position Surface form Disambiguated ID Type / Status
Subject Opole E28226 entity
Predicate twinCity P1072 FINISHED
Object Kuopio
Kuopio is a major city in Eastern Finland known for its lakeside setting, vibrant cultural life, and status as an important regional center for education and industry.
 E77953 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: Kuopio | Statement: [Opole, twinCity, Kuopio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuopio
Context triple: [Opole, twinCity, Kuopio]
  • A. Oulu
    Oulu is a major city in northern Finland known for its technology industry, university, and position near the Gulf of Bothnia.
  • B. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • C. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • D. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • E. Jyväskylä
    Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
  • 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: Kuopio
Triple: [Opole, twinCity, Kuopio]
Generated description
Kuopio is a major city in Eastern Finland known for its lakeside setting, vibrant cultural life, and status as an important regional center for education and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuopio
Target entity description: Kuopio is a major city in Eastern Finland known for its lakeside setting, vibrant cultural life, and status as an important regional center for education and industry.
  • A. Oulu
    Oulu is a major city in northern Finland known for its technology industry, university, and position near the Gulf of Bothnia.
  • B. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • C. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • D. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • E. Jyväskylä chosen
    Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
  • F. None of above.

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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce621a008190a0359eaaf3241e8b completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf141c3481909ae5ea849aee7604 completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accfb8acfc8190bba379d8bb114c29 completed March 8, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:55 p.m.