Triple

T5131048
Position Surface form Disambiguated ID Type / Status
Subject Curitiba E115698 entity
Predicate urbanPlanningModelInfluenced P19359 FINISHED
Object transit-oriented 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: transit-oriented development | Statement: [Curitiba, urbanPlanningModelInfluenced, transit-oriented development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanPlanningModelInfluenced
Context triple: [Curitiba, urbanPlanningModelInfluenced, transit-oriented development]
  • A. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • B. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • C. hasUrbanPlanningImportance
    Indicates that something plays a significant role or has notable relevance in the context of urban planning decisions, policies, or outcomes.
  • D. mainUrbanPlan
    Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
  • E. urbanPlanInspiredBy chosen
    Indicates that an urban planning design, strategy, or project is conceptually derived from, modeled on, or significantly influenced by another plan, precedent, or source.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7fef2e8c8190982dd67f50295ada completed March 20, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69bd77ac2fc48190abeebb003a82384c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:42 p.m.