Triple

T4395339
Position Surface form Disambiguated ID Type / Status
Subject King E99472 entity
Predicate containsSettlement P847 FINISHED
Object Kettleby
Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
 E436686 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: Kettleby | Statement: [King, containsSettlement, Kettleby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kettleby
Context triple: [King, containsSettlement, Kettleby]
  • A. Kettletoft
    Kettletoft is the main village and administrative hub on the Orkney island of Sanday in Scotland.
  • B. Cronkhill
    Cronkhill is a notable early 19th-century Italianate-style country villa in Shropshire, England, recognized as one of the first examples of this architectural style in the country.
  • C. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • D. Kettleburgh
    Kettleburgh is a small rural village and civil parish located in the English county of Suffolk.
  • E. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • 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: Kettleby
Triple: [King, containsSettlement, Kettleby]
Generated description
Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kettleby
Target entity description: Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
  • A. Kettletoft
    Kettletoft is the main village and administrative hub on the Orkney island of Sanday in Scotland.
  • B. Cronkhill
    Cronkhill is a notable early 19th-century Italianate-style country villa in Shropshire, England, recognized as one of the first examples of this architectural style in the country.
  • C. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • D. Kettleburgh
    Kettleburgh is a small rural village and civil parish located in the English county of Suffolk.
  • E. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352ab928c81909f4406d5df3e081b completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e536e1848190a2517ab351adfe48 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5eeaf35348190a1611f5b04baed1f completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef5c7e0c819080b0e8914dcd6568 completed March 14, 2026, 11:29 p.m.
Created at: March 12, 2026, 11:20 p.m.