Triple

T892275
Position Surface form Disambiguated ID Type / Status
Subject Nob Hill E19264 entity
Predicate hasStreet P959 FINISHED
Object Mason Street E30186 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: Mason Street | Statement: [Nob Hill, hasStreet, Mason Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mason Street
Context triple: [Nob Hill, hasStreet, Mason Street]
  • A. Mason Street chosen
    Mason Street is a well-known thoroughfare in San Francisco that forms part of the historic cable car routes running through the city.
  • B. Mason Street
    Mason Street is a roadway in San Francisco’s Presidio area that runs alongside the waterfront recreation area of Crissy Field near the Golden Gate Bridge.
  • C. Madison Street
    Madison Street is a major east–west thoroughfare in downtown Chicago, Illinois, serving as a key dividing line for the city’s street numbering system.
  • D. Franklin Street
    Franklin Street is the central commercial and cultural corridor of Chapel Hill, North Carolina, known for its shops, restaurants, and proximity to the University of North Carolina campus.
  • E. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad0304b081908d4c92bb2beadb81 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02eda1048190b5452b849315863f completed March 8, 2026, 11:14 p.m.
Created at: March 1, 2026, 7:39 p.m.