Triple

T13569662
Position Surface form Disambiguated ID Type / Status
Subject Minato Mirai E324123 entity
Predicate cityPlanningGoal P70554 FINISHED
Object integration of business, shopping, and leisure 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: integration of business, shopping, and leisure | Statement: [Minato Mirai, cityPlanningGoal, integration of business, shopping, and leisure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityPlanningGoal
Context triple: [Minato Mirai, cityPlanningGoal, integration of business, shopping, and leisure]
  • A. urbanDesignGoal chosen
    Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
  • B. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • C. cityOfPlanning
    Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
  • D. urbanPlanningForm
    Indicates the specific type or structure of urban planning approach applied to a place or development.
  • E. urbanPlanningOutcome
    Indicates the result or impact that urban planning decisions or processes have on a place, system, or population.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.