Triple

T22477134
Position Surface form Disambiguated ID Type / Status
Subject Ghadamis E555661 entity
Predicate urbanLayoutAdaptation P24665 FINISHED
Object protection from extreme heat 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: protection from extreme heat | Statement: [Ghadamis, urbanLayoutAdaptation, protection from extreme heat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanLayoutAdaptation
Context triple: [Ghadamis, urbanLayoutAdaptation, protection from extreme heat]
  • A. urbanLayout
    Indicates how the spatial arrangement, organization, and structure of buildings, streets, and public spaces relate to one another within an urban area.
  • B. urbanPlanningFunction chosen
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • C. partOfUrbanLayout
    Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
  • D. urbanDesignElement
    Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
  • E. urbanDesignType
    Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be48cec8190baff90f8566a85d0 completed April 29, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:49 p.m.