Triple

T18755955
Position Surface form Disambiguated ID Type / Status
Subject municipal council of Vernon E458649 entity
Predicate governs P760 FINISHED
Object City of Vernon NE NERFINISHED

How this triple was built (2 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: City of Vernon | Statement: [municipal council of Vernon, governs, City of Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Vernon
Context triple: [municipal council of Vernon, governs, City of Vernon]
  • A. City of Vernon chosen
    The City of Vernon is a small urban center in British Columbia’s Okanagan region, known for its surrounding lakes, outdoor recreation, and tourism.
  • B. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • 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 Korean-American rapper and songwriter best known as a member of the K-pop boy group Seventeen.
  • E. Vernon
    Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 11:51 a.m.