Triple

T21221445
Position Surface form Disambiguated ID Type / Status
Subject Avenida Malecón E522979 entity
Predicate partOf P40 FINISHED
Object road network of Cartagena NE NERFINISHED

How this triple was built (3 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 Cartagena | Statement: [Avenida Malecón, partOf, road network of Cartagena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: road network of Cartagena
Context triple: [Avenida Malecón, partOf, road network of Cartagena]
  • A. Valencia road network
    The Valencia road network is the interconnected system of streets, avenues, and thoroughfares that structure urban mobility and transportation within the city of Valencia, Spain.
  • B. Madrid regional road network
    The Madrid regional road network is a system of highways and secondary roads managed by the Community of Madrid that connects the region’s municipalities with each other and with major national routes.
  • C. Bogotá road network
    The Bogotá road network is the extensive system of streets, avenues, and highways that organizes and connects Colombia’s capital city, supporting its daily transportation and urban mobility.
  • D. Madrid city street network
    The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
  • E. CM (Castilla-La Mancha) regional road network
    The CM (Castilla-La Mancha) regional road network is a system of regional highways and roads managed by the autonomous community of Castilla-La Mancha in central Spain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: road network of Cartagena
Target entity description: The road network of Cartagena is the interconnected system of streets, avenues, and highways that supports transportation and urban mobility within the Colombian coastal city of Cartagena.
  • A. Valencia road network
    The Valencia road network is the interconnected system of streets, avenues, and thoroughfares that structure urban mobility and transportation within the city of Valencia, Spain.
  • B. Madrid regional road network
    The Madrid regional road network is a system of highways and secondary roads managed by the Community of Madrid that connects the region’s municipalities with each other and with major national routes.
  • C. Bogotá road network
    The Bogotá road network is the extensive system of streets, avenues, and highways that organizes and connects Colombia’s capital city, supporting its daily transportation and urban mobility.
  • D. Madrid city street network
    The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
  • E. CM (Castilla-La Mancha) regional road network
    The CM (Castilla-La Mancha) regional road network is a system of regional highways and roads managed by the autonomous community of Castilla-La Mancha in central Spain.
  • F. None of above. chosen

Provenance (2 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73478d4c48190a241e38719e5bd27 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:43 p.m.