Triple

T589731
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth Square E17239 entity
Predicate nearby P350 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: [Portsmouth Square, nearby, Washington Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Washington Street
Context triple: [Portsmouth Square, nearby, Washington Street]
  • A. Washington Street
    Washington Street is a major historic thoroughfare in downtown Boston, Massachusetts, running through the city’s central civic and commercial districts.
  • B. 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.
  • 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. 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.
  • E. East Washington Street
    East Washington Street is a major east–west thoroughfare in downtown Chicago that runs through the Loop and passes notable landmarks such as the Chicago Cultural Center.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb775fc819085b968f8615dca59 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad292fbfe88190816bc5d4f0e56e9f completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:33 p.m.