Triple

T10742189
Position Surface form Disambiguated ID Type / Status
Subject Besòs river corridor E253353 entity
Predicate partOf P40 FINISHED
Object Barcelona metropolitan green infrastructure network
The Barcelona metropolitan green infrastructure network is a coordinated system of natural and semi-natural spaces, corridors, and ecosystems designed to enhance biodiversity, climate resilience, and quality of life across the Barcelona metropolitan area.
E883857 NE FINISHED

How this triple was built (4 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: Barcelona metropolitan green infrastructure network | Statement: [Besòs river corridor, partOf, Barcelona metropolitan green infrastructure network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona metropolitan green infrastructure network
Context triple: [Besòs river corridor, partOf, Barcelona metropolitan green infrastructure network]
  • A. Busan urban green network
    The Busan urban green network is a planned system of interconnected parks, greenways, and ecological corridors designed to enhance environmental quality and recreational space across the city of Busan, South Korea.
  • B. Birmingham metropolitan area green space network
    The Birmingham metropolitan area green space network is a connected system of parks, nature preserves, and recreational greenways that provides ecological conservation, outdoor recreation, and scenic natural areas throughout the greater Birmingham region.
  • C. Recife urban hydrological network
    The Recife urban hydrological network is the interconnected system of rivers, canals, and drainage waterways that shapes the city’s water management, flood dynamics, and coastal environment.
  • D. Zürich city centre public spaces network
    The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
  • E. Stockholm region green structure
    Stockholm region green structure is a large-scale network of interconnected parks, nature reserves, and green corridors in and around Stockholm that supports biodiversity, recreation, and sustainable urban development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Barcelona metropolitan green infrastructure network
Triple: [Besòs river corridor, partOf, Barcelona metropolitan green infrastructure network]
Generated description
The Barcelona metropolitan green infrastructure network is a coordinated system of natural and semi-natural spaces, corridors, and ecosystems designed to enhance biodiversity, climate resilience, and quality of life across the Barcelona metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barcelona metropolitan green infrastructure network
Target entity description: The Barcelona metropolitan green infrastructure network is a coordinated system of natural and semi-natural spaces, corridors, and ecosystems designed to enhance biodiversity, climate resilience, and quality of life across the Barcelona metropolitan area.
  • A. Busan urban green network
    The Busan urban green network is a planned system of interconnected parks, greenways, and ecological corridors designed to enhance environmental quality and recreational space across the city of Busan, South Korea.
  • B. Birmingham metropolitan area green space network
    The Birmingham metropolitan area green space network is a connected system of parks, nature preserves, and recreational greenways that provides ecological conservation, outdoor recreation, and scenic natural areas throughout the greater Birmingham region.
  • C. Recife urban hydrological network
    The Recife urban hydrological network is the interconnected system of rivers, canals, and drainage waterways that shapes the city’s water management, flood dynamics, and coastal environment.
  • D. Zürich city centre public spaces network
    The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
  • E. Stockholm region green structure
    Stockholm region green structure is a large-scale network of interconnected parks, nature reserves, and green corridors in and around Stockholm that supports biodiversity, recreation, and sustainable urban development.
  • F. None of above. chosen

Provenance (5 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.