Triple

T3089833
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Dennington
Dennington is a rural village and civil parish located in the English county of Suffolk.
 E328265 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: Dennington | Statement: [Suffolk, containsSettlement, Dennington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dennington
Context triple: [Suffolk, containsSettlement, Dennington]
  • A. Kedington
    Kedington is a village and civil parish in the English county of Suffolk, known for its historic church and rural setting near Haverhill.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Daventry
    Daventry is a historic market town in Northamptonshire, England, known for its role in early nonconformist religious education and its later development as a regional commercial center.
  • D. Tuncester
    Tuncester is a small locality situated within the Mid North Coast region of New South Wales, Australia.
  • E. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • 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: Dennington
Triple: [Suffolk, containsSettlement, Dennington]
Generated description
Dennington is a rural village and civil parish located in the English county of Suffolk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dennington
Target entity description: Dennington is a rural village and civil parish located in the English county of Suffolk.
  • A. Kedington
    Kedington is a village and civil parish in the English county of Suffolk, known for its historic church and rural setting near Haverhill.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Daventry
    Daventry is a historic market town in Northamptonshire, England, known for its role in early nonconformist religious education and its later development as a regional commercial center.
  • D. Tuncester
    Tuncester is a small locality situated within the Mid North Coast region of New South Wales, Australia.
  • E. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b207d7771c8190974bba03a63295c1 completed March 12, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69b20bc77c188190aa5c412cf9a9f914 completed March 12, 2026, 12:41 a.m.
Created at: March 8, 2026, 3:03 p.m.