Triple

T7128786
Position Surface form Disambiguated ID Type / Status
Subject Rue de la Loi E166132 entity
Predicate urbanPlanningZone P60867 FINISHED
Object EU quarter redevelopment projects 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: EU quarter redevelopment projects | Statement: [Rue de la Loi, urbanPlanningZone, EU quarter redevelopment projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanPlanningZone
Context triple: [Rue de la Loi, urbanPlanningZone, EU quarter redevelopment projects]
  • A. cityPlanningDesignation
    Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
  • B. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • C. plannedArea chosen
    Indicates that an area is designated or intended for a specific planned use or development.
  • D. hasIndustrialZoning
    Indicates that a given area or property is designated for industrial use under zoning regulations.
  • E. urbanDistrictType
    Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:44 p.m.