Triple

T16110265
Position Surface form Disambiguated ID Type / Status
Subject Hammarby Sjöstad E390853 entity
Predicate hasUrbanPlanningConcept P121068 FINISHED
Object sustainable 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: sustainable development | Statement: [Hammarby Sjöstad, hasUrbanPlanningConcept, sustainable development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanningConcept
Context triple: [Hammarby Sjöstad, hasUrbanPlanningConcept, sustainable development]
  • A. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • B. hasUrbanConcept chosen
    Indicates that an entity is associated with, characterized by, or incorporates an urban-related concept, idea, or design principle.
  • C. hasUrbanPlanner
    Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
  • D. hasUrbanPlanningRule
    Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
  • E. hasUrbanDesign
    Indicates that an entity possesses or is associated with a specific urban design plan, feature, or configuration.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016665c0819081aa7a44b1d08183 completed April 17, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5 a.m.