Triple

T20017715
Position Surface form Disambiguated ID Type / Status
Subject Lake Isabella area E494764 entity
Predicate contains P35 FINISHED
Object Kernville 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: Kernville | Statement: [Lake Isabella area, contains, Kernville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kernville
Context triple: [Lake Isabella area, contains, Kernville]
  • A. Kernville chosen
    Kernville is a small historic town in California’s southern Sierra Nevada, known for its outdoor recreation on the Kern River and proximity to Lake Isabella.
  • B. Valley Springs
    Valley Springs is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • C. Crescentville
    Crescentville is a residential neighborhood in the Northeast section of Philadelphia, Pennsylvania, known for its rowhomes and urban community character.
  • D. Holtville
    Holtville is a small agricultural city in Southern California’s Imperial Valley, known for its farming community and annual Carrot Festival.
  • E. Spreckelsville
    Spreckelsville is a small coastal community on the north shore of Maui, Hawaii, known for its beaches, windsurfing spots, and proximity to the town of Paia.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.