Triple

T892277
Position Surface form Disambiguated ID Type / Status
Subject Nob Hill E19264 entity
Predicate hasStreet P959 FINISHED
Object Washington Street E43988 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: Washington Street | Statement: [Nob Hill, hasStreet, Washington Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Washington Street
Context triple: [Nob Hill, hasStreet, Washington Street]
  • A. Washington Street chosen
    Washington Street is a major thoroughfare running through San Francisco’s Chinatown, known for its dense concentration of Chinese shops, restaurants, and cultural landmarks.
  • B. Washington Street
    Washington Street is a major historic thoroughfare in downtown Boston, Massachusetts, running through the city’s central civic and commercial districts.
  • C. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • 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. College Street
    College Street is a prominent thoroughfare in New Haven, Connecticut, running alongside Yale University’s Old Campus and connecting key parts of the downtown area.
  • 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_69adf3a24d9c8190926a3946a89105e1 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:39 p.m.