Triple

T22238166
Position Surface form Disambiguated ID Type / Status
Subject Lower Haight E549646 entity
Predicate hasStreet P959 FINISHED
Object Haight Street — 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: Haight Street | Statement: [Lower Haight, hasStreet, Haight Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haight Street
Context triple: [Lower Haight, hasStreet, Haight Street]
  • A. Haight Street chosen
    Haight Street is a famous San Francisco thoroughfare historically known as the heart of the 1960s counterculture and hippie movement.
  • B. Fillmore Street
    Fillmore Street is a local roadway that forms part of the neighborhood boundary of Rhawnhurst in Northeast Philadelphia, Pennsylvania.
  • C. Fillmore Street
    Fillmore Street is a major north–south thoroughfare in San Francisco known for its shopping, dining, and vibrant neighborhood atmosphere.
  • D. Vallejo Street
    Vallejo Street is a notable San Francisco street that runs through several neighborhoods, including the steep and scenic Russian Hill area.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13210eb9c8190bc40d06c393e0d9a completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.