Triple

T20944502
Position Surface form Disambiguated ID Type / Status
Subject Medlock Valley E515808 entity
Predicate isPartOf P10 FINISHED
Object Greater Manchester green infrastructure network
The Greater Manchester green infrastructure network is a strategic, interconnected system of parks, rivers, woodlands, and other natural and semi-natural spaces across Greater Manchester designed to support biodiversity, recreation, and climate resilience.
E1459975 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: Greater Manchester green infrastructure network | Statement: [Medlock Valley, isPartOf, Greater Manchester green infrastructure network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Manchester green infrastructure network
Context triple: [Medlock Valley, isPartOf, Greater Manchester green infrastructure network]
  • A. City of Bristol green infrastructure network
    The City of Bristol green infrastructure network is a coordinated system of parks, natural areas, and green corridors across Bristol designed to support biodiversity, recreation, and climate resilience.
  • B. Greater London green spaces network
    The Greater London green spaces network is a collective system of parks, commons, and natural areas across London that provides recreational space, biodiversity habitats, and environmental benefits for the city’s residents.
  • C. 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.
  • D. Greater Manchester pedestrian network
    The Greater Manchester pedestrian network is an interconnected system of walkways, footbridges, and paths designed to facilitate safe and convenient walking routes across the Greater Manchester area.
  • E. Greater Manchester green belt
    The Greater Manchester green belt is a protected area of countryside and open land surrounding the Greater Manchester urban region, designated to limit urban sprawl and preserve natural and rural landscapes.
  • 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: Greater Manchester green infrastructure network
Triple: [Medlock Valley, isPartOf, Greater Manchester green infrastructure network]
Generated description
The Greater Manchester green infrastructure network is a strategic, interconnected system of parks, rivers, woodlands, and other natural and semi-natural spaces across Greater Manchester designed to support biodiversity, recreation, and climate resilience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greater Manchester green infrastructure network
Target entity description: The Greater Manchester green infrastructure network is a strategic, interconnected system of parks, rivers, woodlands, and other natural and semi-natural spaces across Greater Manchester designed to support biodiversity, recreation, and climate resilience.
  • A. City of Bristol green infrastructure network
    The City of Bristol green infrastructure network is a coordinated system of parks, natural areas, and green corridors across Bristol designed to support biodiversity, recreation, and climate resilience.
  • B. Greater London green spaces network
    The Greater London green spaces network is a collective system of parks, commons, and natural areas across London that provides recreational space, biodiversity habitats, and environmental benefits for the city’s residents.
  • C. 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.
  • D. Greater Manchester pedestrian network
    The Greater Manchester pedestrian network is an interconnected system of walkways, footbridges, and paths designed to facilitate safe and convenient walking routes across the Greater Manchester area.
  • E. Greater Manchester green belt
    The Greater Manchester green belt is a protected area of countryside and open land surrounding the Greater Manchester urban region, designated to limit urban sprawl and preserve natural and rural landscapes.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad705e481909da0098d7c73cd02 completed April 21, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09278581d481909f26f27b6a92b652 completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a092b5c6b8481909947112f483d0242 completed May 17, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a092c0df8188190ac9c80f2ae5b9618 completed May 17, 2026, 2:46 a.m.
Created at: April 16, 2026, 12:54 p.m.