Triple

T2801494
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Kessingland
Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
E299696 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: Kessingland | Statement: [Suffolk, England, containsSettlement, Kessingland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kessingland
Context triple: [Suffolk, England, containsSettlement, Kessingland]
  • A. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • B. Kirkharle
    Kirkharle is a small rural hamlet in Northumberland, England, best known as the birthplace of the famed 18th-century landscape architect Capability Brown.
  • C. Stanground
    Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
  • D. Kingham
    Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
  • E. Kington
    Kington is a small historic market town in Herefordshire, England, near the Welsh border, known for its scenic countryside and walking trails.
  • 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: Kessingland
Triple: [Suffolk, England, containsSettlement, Kessingland]
Generated description
Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kessingland
Target entity description: Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
  • A. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • B. Kirkharle
    Kirkharle is a small rural hamlet in Northumberland, England, best known as the birthplace of the famed 18th-century landscape architect Capability Brown.
  • C. Stanground
    Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
  • D. Kingham
    Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
  • E. Kington
    Kington is a small historic market town in Herefordshire, England, near the Welsh border, known for its scenic countryside and walking trails.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde1117148190b0c98f906f1c872e completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66d1e488190a4b85decfb38097f completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc8b12b848190ad514eed2d26a90f completed March 10, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69afc9413e1881908fc091b98913e1cf completed March 10, 2026, 7:33 a.m.
Created at: March 6, 2026, 9:58 p.m.