Triple

T23266553
Position Surface form Disambiguated ID Type / Status
Subject Highway 97 E588163 entity
Predicate servesCity P82 FINISHED
Object Vernon
Vernon is a city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, outdoor recreation, and role as a regional commercial center.
 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: [Highway 97, servesCity, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernon
Context triple: [Highway 97, servesCity, Vernon]
  • A. Vernon
    Vernon is a fictional character portrayed by actor Lucas Black, likely in a film or television production.
  • 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 a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • E. 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.
  • 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: [Highway 97, servesCity, Vernon]
Generated description
Vernon is a city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, outdoor recreation, and role as a regional commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernon
Target entity description: Vernon is a city in the Okanagan region of British Columbia, Canada, known for its surrounding lakes, outdoor recreation, and role as a regional commercial center.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f194cd13b48190a9c282545a34f348 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7451b08190ac86309ede7d8cd6 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405be1188190b6622665e448bbe7 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40c6562481908689eca2a4997115 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:37 p.m.