Triple

T2063499
Position Surface form Disambiguated ID Type / Status
Subject South Street E45843 entity
Predicate near P350 FINISHED
Object Water Street
Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
E230825 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: Water Street | Statement: [South Street, near, Water Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water Street
Context triple: [South Street, near, Water Street]
  • A. Bay Street
    Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
  • B. Bay Street
    Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
  • C. River Street
    River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
  • D. River Westend
    River Westend is a small river in Derbyshire, England, that flows through the Peak District and feeds into the River Derwent.
  • E. Buena Vista Street
    Buena Vista Street is a themed entry area at Disney California Adventure Park designed to evoke 1920s–1930s Los Angeles at the time of Walt Disney’s arrival.
  • 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: Water Street
Triple: [South Street, near, Water Street]
Generated description
Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Water Street
Target entity description: Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
  • A. Bay Street
    Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
  • B. Bay Street
    Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
  • C. River Street
    River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
  • D. River Westend
    River Westend is a small river in Derbyshire, England, that flows through the Peak District and feeds into the River Derwent.
  • E. Buena Vista Street
    Buena Vista Street is a themed entry area at Disney California Adventure Park designed to evoke 1920s–1930s Los Angeles at the time of Walt Disney’s arrival.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271fa66081908be6c685b9bd8aa4 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28b4f0548190926ac694fbade405 completed March 9, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae292a9d7481909acbc3a5f24ff0b9 completed March 9, 2026, 1:58 a.m.
Created at: March 4, 2026, 7:40 p.m.