Triple

T34055253
Position Surface form Disambiguated ID Type / Status
Subject El Carmen district of Murcia E873337 entity
Predicate hasUrbanInfrastructure P1495 FINISHED
Object road network of Murcia 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: road network of Murcia | Statement: [El Carmen district of Murcia, hasUrbanInfrastructure, road network of Murcia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanInfrastructure
Context triple: [El Carmen district of Murcia, hasUrbanInfrastructure, road network of Murcia]
  • A. hasUrbanFeature chosen
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • B. hasUrbanSectionsIn
    Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
  • C. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • D. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • E. hasUrbanAccess
    Indicates that an entity has access to urban areas, services, or 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_69f349a3ec2c8190b62da76e54231a0f completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:52 a.m.