Triple

T538798
Position Surface form Disambiguated ID Type / Status
Subject Radiant City E12383 entity
Predicate urbanPlanningApproach P4331 FINISHED
Object high-density development 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: high-density development | Statement: [Radiant City, urbanPlanningApproach, high-density development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanPlanningApproach
Context triple: [Radiant City, urbanPlanningApproach, high-density development]
  • A. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • B. roleInUrbanPlan
    Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
  • C. urbanDevelopmentType
    Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
  • D. partOfUrbanPlanBy
    Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
  • E. policyApproach chosen
    Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b67c308190a1a225ab7c4b74c6 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.