Triple

T18475113
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Walsh E451408 entity
Predicate setting P1957 FINISHED
Object Oakdale 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: Oakdale | Statement: [Lucinda Walsh, setting, Oakdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakdale
Context triple: [Lucinda Walsh, setting, Oakdale]
  • A. Oakdale
    Oakdale is a small city in California’s Central Valley known as the “Cowboy Capital of the World” and a gateway to outdoor recreation in the Sierra Nevada region.
  • B. Oakdale chosen
    Oakdale is the fictional Midwestern town that serves as the primary backdrop for the long-running American soap opera "As the World Turns."
  • C. Oakdale
    Oakdale is a residential suburb within the coastal urban area of Poole and Bournemouth in Dorset, England.
  • D. Oakdale, New York
    Oakdale, New York is a hamlet on Long Island’s south shore known for its waterfront location, historic estates, and suburban residential character.
  • E. Brentwood
    Brentwood is a suburban city in Contra Costa County, California, known for its rapidly growing residential communities and agricultural roots, particularly its orchards and vineyards.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062f67881909620c4e8fc00eb7d completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.