Triple

T594917
Position Surface form Disambiguated ID Type / Status
Subject Bagshot E17358 entity
Predicate hasAmenity P105 FINISHED
Object Bagshot Green
Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
 E75771 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: Bagshot Green | Statement: [Bagshot, hasAmenity, Bagshot Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bagshot Green
Context triple: [Bagshot, hasAmenity, Bagshot Green]
  • A. Bagshot Park
    Bagshot Park is a historic royal residence and country estate in Surrey, England, best known as the home of Prince Edward, Earl of Wessex, and his family.
  • B. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • C. Harrow Hill
    Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
  • D. Wisley Gardens
    Wisley Gardens is a renowned Royal Horticultural Society garden in Surrey, England, celebrated for its diverse plant collections, ornamental landscapes, and horticultural research.
  • E. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • 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: Bagshot Green
Triple: [Bagshot, hasAmenity, Bagshot Green]
Generated description
Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bagshot Green
Target entity description: Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
  • A. Bagshot Park
    Bagshot Park is a historic royal residence and country estate in Surrey, England, best known as the home of Prince Edward, Earl of Wessex, and his family.
  • B. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • C. Harrow Hill
    Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
  • D. Wisley Gardens
    Wisley Gardens is a renowned Royal Horticultural Society garden in Surrey, England, celebrated for its diverse plant collections, ornamental landscapes, and horticultural research.
  • E. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd280ac8190b6a530ce73da85c8 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5238759c88190b1a960291c758447 completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a524233d34819092c15fdc9d6b6411 completed March 2, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a524a0b00c8190951d1e279226ef50 completed March 2, 2026, 5:48 a.m.
Created at: March 1, 2026, 7:33 p.m.