Triple

T4992902
Position Surface form Disambiguated ID Type / Status
Subject Downtown San Francisco E112174 entity
Predicate hasNeighborhood P40 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: [Downtown San Francisco, hasNeighborhood, Yerba Buena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerba Buena
Context triple: [Downtown San Francisco, hasNeighborhood, 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. Sutro
    Sutro is a small unincorporated community in Storey County, Nevada, historically associated with the nearby Comstock Lode mining operations.
  • C. Madrona
    Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
  • D. San Francisco Cora
    San Francisco Cora is a regional variety of the Cora language traditionally spoken by Cora communities in and around the San Francisco region of Nayarit, Mexico.
  • E. Redondo
    Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
  • 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_69bd729d3d448190a414a003a75104f6 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.