Triple

T1829899
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsCity P294 FINISHED
Object Kaarina
Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
 E210754 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: Kaarina | Statement: [Southwest Finland, containsCity, Kaarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaarina
Context triple: [Southwest Finland, containsCity, Kaarina]
  • A. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • B. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • C. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • D. Raisa
    Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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: Kaarina
Triple: [Southwest Finland, containsCity, Kaarina]
Generated description
Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaarina
Target entity description: Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • A. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • B. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • C. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • D. Raisa
    Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf45fcd08190a82a4057470eb3ee completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69ade34a51b88190937437a1856557c8 completed March 8, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69ade3e2625c81909df2b22ce4cbf3ff completed March 8, 2026, 9:02 p.m.
Created at: March 4, 2026, 7:32 p.m.