Triple

T30690393
Position Surface form Disambiguated ID Type / Status
Subject London City Island masterplan, London E781307 entity
Predicate urbanDesignAspect P87338 FINISHED
Object pedestrian-oriented layout 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: pedestrian-oriented layout | Statement: [London City Island masterplan, London, urbanDesignAspect, pedestrian-oriented layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanDesignAspect
Context triple: [London City Island masterplan, London, urbanDesignAspect, pedestrian-oriented layout]
  • A. urbanDesign
    Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
  • B. urbanDesignType
    Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
  • C. urbanDesignElement chosen
    Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
  • D. urbanDesigner
    Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
  • E. urbanDesignGoal
    Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
  • 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_69f224a92f54819095499b4d32bd5134 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca3dedc81908b519d53d2909868 completed May 3, 2026, 2:02 a.m.
Created at: April 29, 2026, 8:33 p.m.