Triple

T16026978
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Avenue NW corridor E388739 entity
Predicate urbanDesignRole P14108 FINISHED
Object ceremonial route LITERAL 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: ceremonial route | Statement: [Pennsylvania Avenue NW corridor, urbanDesignRole, ceremonial route]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanDesignRole
Context triple: [Pennsylvania Avenue NW corridor, urbanDesignRole, ceremonial route]
  • A. urbanDesigner
    Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
  • B. roleInUrbanPlan chosen
    Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
  • C. urbanDesign
    Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
  • D. urbanDesignType
    Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
  • E. urbanDesignElement
    Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:56 a.m.