Triple

T5164779
Position Surface form Disambiguated ID Type / Status
Subject University District E116524 entity
Predicate hasNickname P39 FINISHED
Object U District
U District is a vibrant Seattle neighborhood centered around the University of Washington, known for its student life, eclectic shops, and diverse dining options.
 E500323 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: U District | Statement: [University District, hasNickname, U District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U District
Context triple: [University District, hasNickname, U District]
  • A. University Place
    University Place is a suburban city in Washington State known for its residential character and proximity to Tacoma and Puget Sound.
  • B. University Place
    University Place is a street in Manhattan’s Greenwich Village neighborhood known for running near New York University and Washington Square Park.
  • C. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • D. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • E. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • 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: U District
Triple: [University District, hasNickname, U District]
Generated description
U District is a vibrant Seattle neighborhood centered around the University of Washington, known for its student life, eclectic shops, and diverse dining options.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U District
Target entity description: U District is a vibrant Seattle neighborhood centered around the University of Washington, known for its student life, eclectic shops, and diverse dining options.
  • A. University Place
    University Place is a suburban city in Washington State known for its residential character and proximity to Tacoma and Puget Sound.
  • B. University Place
    University Place is a street in Manhattan’s Greenwich Village neighborhood known for running near New York University and Washington Square Park.
  • C. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • D. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • E. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792936d48190825da8826448c1da completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed937bd8c81909569f7205044aa5a completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedc0576208190821ff04a759709ce completed March 21, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69bedc7f1f848190a845d3aed45ce6c1 completed March 21, 2026, 5:59 p.m.
Created at: March 20, 2026, 1:44 p.m.