Triple

T4992432
Position Surface form Disambiguated ID Type / Status
Subject Pet’s Rest Cemetery E112162 entity
Predicate locatedInTown P40 FINISHED
Object Colma E19127 NE FINISHED

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: Colma | Statement: [Pet’s Rest Cemetery, locatedInTown, Colma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colma
Context triple: [Pet’s Rest Cemetery, locatedInTown, Colma]
  • A. Colma chosen
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • B. Montebello
    Montebello is a suburban city in Los Angeles County, California, known for its residential communities, commercial centers, and proximity to downtown Los Angeles.
  • C. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • D. Roseland
    Roseland is a predominantly residential neighborhood on Chicago’s far South Side known for its historic roots, diverse community, and ongoing efforts at economic revitalization.
  • E. Welhaven
    Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729bb45081908d85891a9d9f4b71 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a2d71c08190be1d3397585ca65c completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.