Triple

T15533557
Position Surface form Disambiguated ID Type / Status
Subject Okanagan Lake E370283 entity
Predicate adjacentCity P5707 FINISHED
Object Vernon
Vernon is a city in British Columbia, Canada, known for its lakeside setting, outdoor recreation, and role as a regional service and tourism hub in the Okanagan Valley.
 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: [Okanagan Lake, adjacentCity, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernon
Context triple: [Okanagan Lake, adjacentCity, Vernon]
  • A. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • B. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • C. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • 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: [Okanagan Lake, adjacentCity, Vernon]
Generated description
Vernon is a city in British Columbia, Canada, known for its lakeside setting, outdoor recreation, and role as a regional service and tourism hub in the Okanagan Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernon
Target entity description: Vernon is a city in British Columbia, Canada, known for its lakeside setting, outdoor recreation, and role as a regional service and tourism hub in the Okanagan Valley.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414877d88190804ee76566004e13 completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5e82a48190bb0a10ebc2412129 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3ea7d5ac81908bd1ee64de39dba7 completed May 9, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff413a68488190a6c8907e36a602dc completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 4:06 a.m.