Triple

T5281322
Position Surface form Disambiguated ID Type / Status
Subject Kvarnholmen E119503 entity
Predicate hasUrbanPlanningGoal P62316 FINISHED
Object mixed-use 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: mixed-use development | Statement: [Kvarnholmen, hasUrbanPlanningGoal, mixed-use development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanningGoal
Context triple: [Kvarnholmen, hasUrbanPlanningGoal, mixed-use development]
  • A. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • B. mainUrbanPlan
    Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
  • C. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • D. hasRedevelopmentGoal chosen
    Indicates that an entity is associated with a specific objective or target related to redevelopment or renewal activities.
  • E. hasUrbanPlanningImportance
    Indicates that something plays a significant role or has notable relevance in the context of urban planning decisions, policies, or outcomes.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8c9c72b08190947b6b955ac1bb5a completed March 20, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69bd844a56b48190ad743c42246e02dd completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:52 p.m.