Triple

T18755875
Position Surface form Disambiguated ID Type / Status
Subject Collégiale Notre-Dame de Vernon E458647 entity
Predicate locatedIn P40 FINISHED
Object Vernon
Vernon is a historic town in northern France, situated on the Seine River between Paris and Rouen, known for its medieval architecture and proximity to Claude Monet’s home in Giverny.
 E101458 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: [Collégiale Notre-Dame de Vernon, locatedIn, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernon
Context triple: [Collégiale Notre-Dame de Vernon, locatedIn, 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 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 a masculine given name of English origin, historically used in various English-speaking countries.
  • E. Vernon
    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.
  • 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: [Collégiale Notre-Dame de Vernon, locatedIn, Vernon]
Generated description
Vernon is a historic town in northern France, situated on the Seine River between Paris and Rouen, known for its medieval architecture and proximity to Claude Monet’s home in Giverny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernon
Target entity description: Vernon is a historic town in northern France, situated on the Seine River between Paris and Rouen, known for its medieval architecture and proximity to Claude Monet’s home in Giverny.
  • A. Vernon chosen
    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 city in British Columbia, Canada, known for its lakes, outdoor recreation, and role as a service and tourism hub in the Okanagan region.
  • 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 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f20b808190833e29830bfed937 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05470eb550819087e4f32098a73442 completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a0549e14de88190b1eb15a71fa8096c completed May 14, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_6a054a49696c8190878c6906f0e251e8 completed May 14, 2026, 4:06 a.m.
Created at: April 10, 2026, 11:51 a.m.