Triple

T13090210
Position Surface form Disambiguated ID Type / Status
Subject Northern Savonia E310441 entity
Predicate containsMunicipality P852 FINISHED
Object Juankoski
Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
E1203642 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: Juankoski | Statement: [Northern Savonia, containsMunicipality, Juankoski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juankoski
Context triple: [Northern Savonia, containsMunicipality, Juankoski]
  • A. Jokioinen
    Jokioinen is a small Finnish municipality known for its agricultural research center and rural landscapes in the Tavastia Proper region.
  • B. Kajaani
    Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
  • C. Kempele
    Kempele is a rapidly growing municipality in Northern Ostrobothnia, Finland, located just south of the city of Oulu.
  • D. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • E. Padasjoki
    Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
  • 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: Juankoski
Triple: [Northern Savonia, containsMunicipality, Juankoski]
Generated description
Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juankoski
Target entity description: Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
  • A. Jokioinen
    Jokioinen is a small Finnish municipality known for its agricultural research center and rural landscapes in the Tavastia Proper region.
  • B. Kajaani
    Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
  • C. Kempele
    Kempele is a rapidly growing municipality in Northern Ostrobothnia, Finland, located just south of the city of Oulu.
  • D. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • E. Padasjoki
    Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
  • 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_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
NEDg Description generation batch_6a00184a16e0819089dffbe23b88bdb3 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 9, 2026, 9:03 p.m.