Triple

T22378578
Position Surface form Disambiguated ID Type / Status
Subject Van Ness campus E553209 entity
Predicate neighborhood P988 FINISHED
Object Van Ness 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 | Statement: [Van Ness campus, neighborhood, Van Ness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Ness
Context triple: [Van Ness campus, neighborhood, Van Ness]
  • A. Van Ness chosen
    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.
  • B. Van Ness Avenue
    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.
  • C. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • 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. Montgomery Street
    Montgomery Street is a key thoroughfare in the Sydney suburb of Kogarah, New South Wales, serving as one of its main local traffic and commercial routes.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582a04ac81908d4d389b150be7f1 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.