Triple

T342975
Position Surface form Disambiguated ID Type / Status
Subject Russian Hill E6876 entity
Predicate contains P35 FINISHED
Object Union Street
Union Street is a notable commercial thoroughfare in San Francisco known for its boutiques, restaurants, and historic architecture.
E81267 NE FINISHED

How this triple was built (4 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: Union Street | Statement: [Russian Hill, contains, Union Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Street
Context triple: [Russian Hill, contains, Union Street]
  • A. Union Street
    Union Street is a central thoroughfare in Glasgow, Scotland, known for its busy traffic, shops, and proximity to major transport hubs.
  • B. 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.
  • C. Mason Street
    Mason Street is a well-known thoroughfare in San Francisco that forms part of the historic cable car routes running through the city.
  • D. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • E. King Street
    King Street is a historic and prestigious street in Manchester, England, known for its high-end shops, offices, and notable architecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Union Street
Triple: [Russian Hill, contains, Union Street]
Generated description
Union Street is a notable commercial thoroughfare in San Francisco known for its boutiques, restaurants, and historic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Union Street
Target entity description: Union Street is a notable commercial thoroughfare in San Francisco known for its boutiques, restaurants, and historic architecture.
  • A. Union Street
    Union Street is a central thoroughfare in Glasgow, Scotland, known for its busy traffic, shops, and proximity to major transport hubs.
  • B. 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.
  • C. Mason Street
    Mason Street is a well-known thoroughfare in San Francisco that forms part of the historic cable car routes running through the city.
  • D. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • E. King Street
    King Street is a historic and prestigious street in Manchester, England, known for its high-end shops, offices, and notable architecture.
  • F. None of above. chosen

Provenance (5 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eafef8c88190a5932eb2c6ac4a5d completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58030d0e48190a6390478e62f8659 completed March 2, 2026, 12:18 p.m.
NEDg Description generation batch_69a582410b008190a4f354b354e27c31 completed March 2, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69a582eb73c08190982a7fa6bbee536f completed March 2, 2026, 12:30 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.