Triple

T6119012
Position Surface form Disambiguated ID Type / Status
Subject Burntwood E136433 entity
Predicate hasPart P35 FINISHED
Object Burntwood Green
Burntwood Green is a locality or neighborhood within the town of Burntwood in Staffordshire, England.
 E136433 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: Burntwood Green | Statement: [Burntwood, hasPart, Burntwood Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burntwood Green
Context triple: [Burntwood, hasPart, Burntwood Green]
  • A. Burntwood
    Burntwood is a town in Staffordshire, England, known historically for its coal mining heritage and proximity to the city of Lichfield.
  • B. Bluebell Wood
    Bluebell Wood is a seasonal woodland garden display at the Brooklyn Botanic Garden, renowned for its dense springtime carpets of blooming bluebells.
  • C. Woodfieldside
    Woodfieldside is a small residential area in South Wales situated near the town of Blackwood in Caerphilly County Borough.
  • D. Bagshot Green
    Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
  • E. Uplands
    Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
  • 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: Burntwood Green
Triple: [Burntwood, hasPart, Burntwood Green]
Generated description
Burntwood Green is a locality or neighborhood within the town of Burntwood in Staffordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burntwood Green
Target entity description: Burntwood Green is a locality or neighborhood within the town of Burntwood in Staffordshire, England.
  • A. Burntwood chosen
    Burntwood is a town in Staffordshire, England, known historically for its coal mining heritage and proximity to the city of Lichfield.
  • B. Bluebell Wood
    Bluebell Wood is a seasonal woodland garden display at the Brooklyn Botanic Garden, renowned for its dense springtime carpets of blooming bluebells.
  • C. Woodfieldside
    Woodfieldside is a small residential area in South Wales situated near the town of Blackwood in Caerphilly County Borough.
  • D. Bagshot Green
    Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
  • E. Uplands
    Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
  • F. None of above.

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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1257153748190947cd80589620f12 completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c129464108819086b1a3991ef4c9e1 completed March 23, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69c129d7cd348190963e1a266d5e88ae completed March 23, 2026, 11:53 a.m.
Created at: March 22, 2026, 4:14 p.m.