Triple

T16274690
Position Surface form Disambiguated ID Type / Status
Subject Cureghem E395092 entity
Predicate urbanPolicyContext P85409 FINISHED
Object target area for Brussels urban regeneration policies 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: target area for Brussels urban regeneration policies | Statement: [Cureghem, urbanPolicyContext, target area for Brussels urban regeneration policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanPolicyContext
Context triple: [Cureghem, urbanPolicyContext, target area for Brussels urban regeneration policies]
  • A. urbanPolicyRole
    Indicates a role or responsibility that an entity has in shaping, implementing, or influencing urban policy.
  • B. cityPolicy
    Indicates a relationship where a city establishes or is governed by a specific policy, rule, or regulatory framework.
  • C. typeOfUrbanPolicy chosen
    Indicates the specific category or kind of urban policy that characterizes or governs a given urban-related entity or action.
  • D. urbanStatusContext
    Indicates the relationship between an entity and the urban characteristics or conditions of its surrounding environment or context.
  • E. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460c2d948190813b66e539a64a70 completed April 17, 2026, 2:39 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:05 a.m.