Triple

T3598958
Position Surface form Disambiguated ID Type / Status
Subject Kelowna E76207 entity
Predicate hasNeighbouringCity P3883 FINISHED
Object Vernon
Vernon is a small city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, orchards, and outdoor recreation.
 E367636 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: Vernon | Statement: [Kelowna, hasNeighbouringCity, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernon
Context triple: [Kelowna, hasNeighbouringCity, Vernon]
  • A. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • B. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • C. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • D. Vernon
    Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
  • E. Vernon
    Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
  • 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: Vernon
Triple: [Kelowna, hasNeighbouringCity, Vernon]
Generated description
Vernon is a small city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, orchards, and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernon
Target entity description: Vernon is a small city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, orchards, and outdoor recreation.
  • A. Vernon chosen
    Vernon is a small city in British Columbia, Canada, known for its lakes, outdoor recreation, and role as a service and tourism hub in the Okanagan region.
  • B. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • C. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • D. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • E. Vernon
    Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
  • F. None of above.

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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19e9e98819094455cb3c4efcb9a completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40316ebdc819088eb21b7087fb7e7 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b406f095488190b4543fa8008fe86c completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b408778220819086935bfa9c0dd4fd completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.