Triple

T10532862
Position Surface form Disambiguated ID Type / Status
Subject Yerba Buena Center for the Arts E248487 entity
Predicate neighborhood P988 FINISHED
Object Yerba Buena E248489 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: Yerba Buena | Statement: [Yerba Buena Center for the Arts, neighborhood, Yerba Buena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerba Buena
Context triple: [Yerba Buena Center for the Arts, neighborhood, Yerba Buena]
  • A. Yerba Buena chosen
    Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
  • B. Yerba Buena
    Yerba Buena is a city in northwestern Argentina known as a suburban and residential area adjacent to the provincial capital of San Miguel de Tucumán.
  • C. Sutro
    Sutro is a small unincorporated community in Storey County, Nevada, historically associated with the nearby Comstock Lode mining operations.
  • D. Madrona
    Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
  • E. Point San Pablo
    Point San Pablo is a headland on the San Pablo Bay shoreline in Richmond, California, known for its waterfront views, marina, and proximity to regional parks and open-space areas.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9340da2948190950e7c0ceea12cb1 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:30 p.m.