Triple

T22132882
Position Surface form Disambiguated ID Type / Status
Subject Quarry Hill E546947 entity
Predicate hasNearbyArea P4647 FINISHED
Object Burmantofts
Burmantofts is an inner-city district of Leeds, West Yorkshire, known for its historic ceramics industry and dense urban housing.
E1519833 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: Burmantofts | Statement: [Quarry Hill, hasNearbyArea, Burmantofts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burmantofts
Context triple: [Quarry Hill, hasNearbyArea, Burmantofts]
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Blyford
    Blyford is a small rural village located in the English county of Suffolk.
  • C. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • D. Windlestone
    Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
  • E. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • 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: Burmantofts
Triple: [Quarry Hill, hasNearbyArea, Burmantofts]
Generated description
Burmantofts is an inner-city district of Leeds, West Yorkshire, known for its historic ceramics industry and dense urban housing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burmantofts
Target entity description: Burmantofts is an inner-city district of Leeds, West Yorkshire, known for its historic ceramics industry and dense urban housing.
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Blyford
    Blyford is a small rural village located in the English county of Suffolk.
  • C. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • D. Windlestone
    Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
  • E. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129b81d5c819085fd18bf3ae28333 completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f2bd49c81908a75359074a0ada2 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a91ef8d188190a6ec20d6c43aef91 completed May 18, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9266624c81908eb06a0fc02b85d4 completed May 18, 2026, 4:15 a.m.
Created at: April 16, 2026, 8:32 p.m.