Triple

T8237298
Position Surface form Disambiguated ID Type / Status
Subject South Norfolk District E192441 entity
Predicate containsSettlement P847 FINISHED
Object Harleston
Harleston is a small market town in Norfolk, England, known for its historic architecture and rural surroundings.
 E727755 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: Harleston | Statement: [South Norfolk District, containsSettlement, Harleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harleston
Context triple: [South Norfolk District, containsSettlement, Harleston]
  • A. Harleston
    Harleston is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Attleborough
    Attleborough is a market town and civil parish in the English county of Norfolk.
  • C. Harwich
    Harwich is a coastal town on southeastern Cape Cod in Massachusetts known for its beaches, harbors, and summer tourism.
  • D. Harwich
    Harwich is a historic port town in Essex, England, which once served as a parliamentary borough represented in the British House of Commons.
  • E. Oxburgh
    Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
  • 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: Harleston
Triple: [South Norfolk District, containsSettlement, Harleston]
Generated description
Harleston is a small market town in Norfolk, England, known for its historic architecture and rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harleston
Target entity description: Harleston is a small market town in Norfolk, England, known for its historic architecture and rural surroundings.
  • A. Harleston
    Harleston is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Attleborough
    Attleborough is a market town and civil parish in the English county of Norfolk.
  • C. Harwich
    Harwich is a coastal town on southeastern Cape Cod in Massachusetts known for its beaches, harbors, and summer tourism.
  • D. Harwich
    Harwich is a historic port town in Essex, England, which once served as a parliamentary borough represented in the British House of Commons.
  • E. Oxburgh
    Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783929c081909db1182947755bae completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6b591d081909e1fb450508197f2 completed April 2, 2026, 1:30 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:47 p.m.