Triple

T1854338
Position Surface form Disambiguated ID Type / Status
Subject Uusimaa E41667 entity
Predicate contains P35 FINISHED
Object 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.
E217663 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: Kauniainen | Statement: [Uusimaa, contains, Kauniainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauniainen
Context triple: [Uusimaa, contains, Kauniainen]
  • A. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • B. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • C. Kustavi
    Kustavi is a small coastal municipality and popular summer resort area in southwestern Finland, known for its archipelago scenery and cottage culture.
  • D. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • E. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • 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: Kauniainen
Triple: [Uusimaa, contains, Kauniainen]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kauniainen
Target entity description: 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.
  • A. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • B. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • C. Kustavi
    Kustavi is a small coastal municipality and popular summer resort area in southwestern Finland, known for its archipelago scenery and cottage culture.
  • D. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • E. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06b3f08819092b3fbdff83b3097 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c82d50819094e8ccdba0faf819 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf6023dc081908399c9ad402c7e82 completed March 8, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69adf65600448190ae90a954f88115ff completed March 8, 2026, 10:21 p.m.
Created at: March 4, 2026, 7:33 p.m.