Triple

T22682594
Position Surface form Disambiguated ID Type / Status
Subject Zvezdara Forest E560819 entity
Predicate isPartOf P10 FINISHED
Object 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.
E1549398 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: Belgrade urban green network | Statement: [Zvezdara Forest, isPartOf, Belgrade urban green network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgrade urban green network
Context triple: [Zvezdara Forest, isPartOf, Belgrade urban green 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. 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.
  • C. 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.
  • D. urban green infrastructure of Esch-sur-Alzette
    The urban green infrastructure of Esch-sur-Alzette is a network of parks, natural areas, and green corridors—anchored by sites like Gaalgebierg park—that supports recreation, biodiversity, and environmental quality in the city.
  • E. 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.
  • 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: Belgrade urban green network
Triple: [Zvezdara Forest, isPartOf, Belgrade urban green network]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belgrade urban green network
Target entity description: 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.
  • 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. 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.
  • C. 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.
  • D. urban green infrastructure of Esch-sur-Alzette
    The urban green infrastructure of Esch-sur-Alzette is a network of parks, natural areas, and green corridors—anchored by sites like Gaalgebierg park—that supports recreation, biodiversity, and environmental quality in the city.
  • E. 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.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786113a881908f60285054d7ecfb completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f4db988190a651faf7f454c6c8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7551043c81908323a86af4db77ce completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b764c2de88190bb1024206607d107 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:12 p.m.