Triple

T20886140
Position Surface form Disambiguated ID Type / Status
Subject KVIS E514284 entity
Predicate servesCity P82 FINISHED
Object Visalia 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: Visalia | Statement: [KVIS, servesCity, Visalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visalia
Context triple: [KVIS, servesCity, Visalia]
  • A. Visalia, California chosen
    Visalia, California is a mid-sized city in California's San Joaquin Valley that serves as a regional hub and primary gateway to Sequoia National Park.
  • B. Bakersfield
    Bakersfield is a large city in California known for its role as an agricultural and oil-production hub and as the birthplace of the Bakersfield sound in country music.
  • C. Fresno
    Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
  • D. Fresno
    Fresno is a Brazilian rock band known for its emotive lyrics and significant presence in the country’s alternative music scene.
  • E. Merced
    Merced was the original codename for Intel and Hewlett-Packard’s first-generation Itanium 64-bit server processor.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d058d4dc81908398f8c75e30dc77 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.