Triple

T5917803
Position Surface form Disambiguated ID Type / Status
Subject RAF Debden E131623 entity
Predicate nearbySettlement P350 FINISHED
Object Debden Green
Debden Green is a small rural settlement in Essex, England, situated near the former Royal Air Force station RAF Debden.
E556879 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: Debden Green | Statement: [RAF Debden, nearbySettlement, Debden Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debden Green
Context triple: [RAF Debden, nearbySettlement, Debden Green]
  • A. Gospel Oak
    Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
  • B. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • C. East Ham
    East Ham is a district in East London, England, known for its diverse community and historic development as a suburban area of the city.
  • D. Chingford
    Chingford is a suburban area in the London Borough of Waltham Forest, known as a residential district on the northeastern edge of Greater London near Epping Forest.
  • E. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • 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: Debden Green
Triple: [RAF Debden, nearbySettlement, Debden Green]
Generated description
Debden Green is a small rural settlement in Essex, England, situated near the former Royal Air Force station RAF Debden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Debden Green
Target entity description: Debden Green is a small rural settlement in Essex, England, situated near the former Royal Air Force station RAF Debden.
  • A. Gospel Oak
    Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
  • B. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • C. East Ham
    East Ham is a district in East London, England, known for its diverse community and historic development as a suburban area of the city.
  • D. Chingford
    Chingford is a suburban area in the London Borough of Waltham Forest, known as a residential district on the northeastern edge of Greater London near Epping Forest.
  • E. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037feb9d8819089bf68e3a4a53534 completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c033d59481909495192af85307b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 3:59 p.m.