Triple

T1829927
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsMunicipality P852 FINISHED
Object Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
 E206574 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: Velkua | Statement: [Southwest Finland, containsMunicipality, Velkua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Velkua
Context triple: [Southwest Finland, containsMunicipality, Velkua]
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Örtze
    Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • C. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • D. Bór
    Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
  • E. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • 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: Velkua
Triple: [Southwest Finland, containsMunicipality, Velkua]
Generated description
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Velkua
Target entity description: Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Örtze
    Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • C. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • D. Bór
    Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
  • E. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • 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_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcc55db8481909b5680230a61a4c1 completed March 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_69adccf2b56c8190bf2de8f8bcbb4837 completed March 8, 2026, 7:24 p.m.
Created at: March 4, 2026, 7:32 p.m.