Triple

T22146443
Position Surface form Disambiguated ID Type / Status
Subject Van Ness station E547298 entity
Predicate namedAfter P63 FINISHED
Object Van Ness Avenue 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: Van Ness Avenue | Statement: [Van Ness station, namedAfter, Van Ness Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Ness Avenue
Context triple: [Van Ness station, namedAfter, Van Ness Avenue]
  • A. Van Ness Avenue chosen
    Van Ness Avenue is a major north–south thoroughfare in San Francisco known for its wide boulevard, historic architecture, and role as a key transportation corridor through the city.
  • B. Van Ness
    Van Ness is a residential and commercial neighborhood in Northwest Washington, D.C., known for its embassies, apartment buildings, and the University of the District of Columbia campus.
  • C. Golden Gate Avenue
    Golden Gate Avenue is a major east–west thoroughfare in San Francisco, California, running through several neighborhoods including the Civic Center and the Western Addition.
  • D. Sutter Avenue
    Sutter Avenue is a street in Brooklyn, New York City, that lends its name to the nearby Sutter Avenue–Rutland Road subway station.
  • E. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.