Triple

T1845936
Position Surface form Disambiguated ID Type / Status
Subject Ostrobothnia E41282 entity
Predicate hasMunicipality P847 FINISHED
Object Vörå
Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
E205951 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: Vörå | Statement: [Ostrobothnia, hasMunicipality, Vörå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vörå
Context triple: [Ostrobothnia, hasMunicipality, Vörå]
  • A. Stora Värtan
    Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
  • B. Hovsjö
    Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
  • C. Viksjö
    Viksjö is a residential district and suburb of Stockholm located within Järfälla Municipality in Sweden.
  • D. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • E. Lilla Värtan
    Lilla Värtan is a narrow strait in the inner Stockholm archipelago that separates the island of Lidingö from mainland Stockholm.
  • 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: Vörå
Triple: [Ostrobothnia, hasMunicipality, Vörå]
Generated description
Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vörå
Target entity description: Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
  • A. Stora Värtan
    Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
  • B. Hovsjö
    Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
  • C. Viksjö
    Viksjö is a residential district and suburb of Stockholm located within Järfälla Municipality in Sweden.
  • D. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • E. Lilla Värtan
    Lilla Värtan is a narrow strait in the inner Stockholm archipelago that separates the island of Lidingö from mainland Stockholm.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c070548190af52d3feaa3aead2 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcb1466788190bdcb50107d838f83 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf5b0b881909d43c748034481f4 completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:33 p.m.