Triple

T17663686
Position Surface form Disambiguated ID Type / Status
Subject Jardín Bella Vista cemetery E440315 entity
Predicate locatedIn P40 FINISHED
Object Bella Vista 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: Bella Vista | Statement: [Jardín Bella Vista cemetery, locatedIn, Bella Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Vista
Context triple: [Jardín Bella Vista cemetery, locatedIn, Bella Vista]
  • A. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • B. Bella Vista chosen
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • C. Belle Vista
    Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
  • D. Bensonville
    Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
  • E. Grandview
    Grandview is the fictional small-town setting of the supernatural drama series "Ghost Whisperer," where the protagonist communicates with spirits to resolve their unfinished business.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea7f0ec81908eff43aa845584af completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:53 a.m.