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.