Triple

T23259524
Position Surface form Disambiguated ID Type / Status
Subject Umyeonsan Mountain E581964 entity
Predicate partOf P40 FINISHED
Object Seoul urban green space network
The Seoul urban green space network is an interconnected system of parks, forests, and natural areas across Seoul designed to preserve biodiversity, provide recreation, and enhance environmental quality within the city.
E1577555 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: Seoul urban green space network | Statement: [Umyeonsan Mountain, partOf, Seoul urban green space network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul urban green space network
Context triple: [Umyeonsan Mountain, partOf, Seoul urban green space 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. Johannesburg green infrastructure network
    The Johannesburg green infrastructure network is an interconnected system of rivers, parks, open spaces, and ecological corridors across Johannesburg designed to support biodiversity, recreation, and climate resilience.
  • C. 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.
  • D. 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.
  • E. Belgrade urban green network
    Belgrade urban green network is a system of interconnected parks, forests, and green corridors in Belgrade designed to preserve biodiversity, provide recreation, and improve the city’s environmental quality.
  • 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: Seoul urban green space network
Triple: [Umyeonsan Mountain, partOf, Seoul urban green space network]
Generated description
The Seoul urban green space network is an interconnected system of parks, forests, and natural areas across Seoul designed to preserve biodiversity, provide recreation, and enhance environmental quality within the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seoul urban green space network
Target entity description: The Seoul urban green space network is an interconnected system of parks, forests, and natural areas across Seoul designed to preserve biodiversity, provide recreation, and enhance environmental quality within the city.
  • 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. Johannesburg green infrastructure network
    The Johannesburg green infrastructure network is an interconnected system of rivers, parks, open spaces, and ecological corridors across Johannesburg designed to support biodiversity, recreation, and climate resilience.
  • C. 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.
  • D. 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.
  • E. Belgrade urban green network
    Belgrade urban green network is a system of interconnected parks, forests, and green corridors in Belgrade designed to preserve biodiversity, provide recreation, and improve the city’s environmental quality.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c7ec148190b01fd215a0c1daa1 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6dc8188190a4c289d6d7622c7b completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c4043d00481908f8d72d80c8ec692 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40d700188190a34ad429ec84e710 completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.