Triple

T9064354
Position Surface form Disambiguated ID Type / Status
Subject Satakunta E217205 entity
Predicate containsMunicipality P852 FINISHED
Object Kiukainen
Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
 E777399 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: Kiukainen | Statement: [Satakunta, containsMunicipality, Kiukainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiukainen
Context triple: [Satakunta, containsMunicipality, Kiukainen]
  • A. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • B. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • C. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • 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. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • 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: Kiukainen
Triple: [Satakunta, containsMunicipality, Kiukainen]
Generated description
Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiukainen
Target entity description: Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
  • A. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • B. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • C. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • 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. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:11 p.m.