Triple

T367620
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Bromley E7995 entity
Predicate hasHistoricVillage P4011 FINISHED
Object Keston
Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
 E48400 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: Keston | Statement: [London Borough of Bromley, hasHistoricVillage, Keston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keston
Context triple: [London Borough of Bromley, hasHistoricVillage, Keston]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • C. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • D. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • E. Loscy
    Loscy is the nickname of Jim Loscutoff, a former Boston Celtics forward known for his rugged defense and contribution to multiple NBA championships in the 1950s and 1960s.
  • 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: Keston
Triple: [London Borough of Bromley, hasHistoricVillage, Keston]
Generated description
Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keston
Target entity description: Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • C. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • D. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • E. Loscy
    Loscy is the nickname of Jim Loscutoff, a former Boston Celtics forward known for his rugged defense and contribution to multiple NBA championships in the 1950s and 1960s.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee29ede0819095279af95b53e350 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fafb2df881909d5528acfb536ea8 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fd97f8c081908edec848116389a4 completed March 1, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69a3fde3e8f481908c8032f8a7a61000 completed March 1, 2026, 8:50 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.