Triple

T18372901
Position Surface form Disambiguated ID Type / Status
Subject Interstate 93 in Massachusetts E446229 entity
Predicate urbanSectionIn P80700 FINISHED
Object downtown Boston NE NERFINISHED

How this triple was built (3 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: downtown Boston | Statement: [Interstate 93 in Massachusetts, urbanSectionIn, downtown Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Boston
Context triple: [Interstate 93 in Massachusetts, urbanSectionIn, downtown Boston]
  • A. Downtown Boston chosen
    Downtown Boston is the city’s historic and commercial core, known for its dense cluster of landmarks, offices, and shopping areas.
  • B. Boston cultural district
    The Boston cultural district is a vibrant urban area in Boston known for its concentration of arts institutions, theaters, galleries, and cultural venues.
  • C. Boston town centre
    Boston town centre is the historic commercial and civic heart of Boston, Lincolnshire, featuring traditional markets, shops, and notable heritage buildings.
  • D. South Boston
    South Boston is a densely populated waterfront neighborhood of Boston, Massachusetts, known for its strong Irish-American heritage and rapidly gentrifying urban landscape.
  • E. South Boston
    South Boston is an independent town in southern Virginia known for its historic downtown, former tobacco warehouses, and proximity to the Dan River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanSectionIn
Context triple: [Interstate 93 in Massachusetts, urbanSectionIn, downtown Boston]
  • A. urbanSectionType
    Indicates the specific category or type of an urban section within a city or built environment (e.g., residential, commercial, industrial).
  • B. urbanComponent
    Indicates that something functions as a constituent part or element within an urban area or city system.
  • C. isUrbanSectionOf chosen
    Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
  • D. urbanDevelopmentIncludes
    Indicates that a broader urban development plan or project encompasses or contains specific components, features, or activities.
  • E. withinUrbanArea
    Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
  • F. None of above.

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517561edc8190b5d2834707ab662b completed April 19, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69e44fed3fdc81908f4ed6a81db42416 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:45 a.m.