Triple

T26593909
Position Surface form Disambiguated ID Type / Status
Subject Action Area I E667434 entity
Predicate urbanDesignCharacteristic P87338 FINISHED
Object grid-like road 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: grid-like road layout | Statement: [Action Area I, urbanDesignCharacteristic, grid-like road layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanDesignCharacteristic
Context triple: [Action Area I, urbanDesignCharacteristic, grid-like road layout]
  • A. 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.
  • B. urbanDesignType
    Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
  • 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. neighborhoodCharacteristic
    Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
  • E. urbanDesigner
    Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
  • 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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61fd623bc819091df736cf3419b99 completed May 2, 2026, 4:01 p.m.
PD Predicate disambiguation batch_69f61b3d23f481908dfec27adace900a completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 2:09 a.m.