Triple

T22238167
Position Surface form Disambiguated ID Type / Status
Subject Lower Haight E549646 entity
Predicate hasStreet P959 FINISHED
Object Fillmore 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: Fillmore Street | Statement: [Lower Haight, hasStreet, Fillmore Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fillmore Street
Context triple: [Lower Haight, hasStreet, Fillmore Street]
  • A. Fillmore Street chosen
    Fillmore Street is a major north–south thoroughfare in San Francisco known for its shopping, dining, and vibrant neighborhood atmosphere.
  • B. Fillmore Street
    Fillmore Street is a local roadway that forms part of the neighborhood boundary of Rhawnhurst in Northeast Philadelphia, Pennsylvania.
  • C. Sutter Street
    Sutter Street is a major thoroughfare in San Francisco’s Financial District and downtown area, lined with offices, shops, and historic buildings.
  • D. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • E. Mission Street
    Mission Street is a major north–south thoroughfare in San Francisco known for running through the culturally vibrant Mission District and serving as one of the city’s historic commercial corridors.
  • 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.