Triple

T2801613
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Somerleyton
Somerleyton is a village in Suffolk, England, known for its historic Somerleyton Hall and well-preserved Victorian estate.
E301437 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: Somerleyton | Statement: [Suffolk, England, containsSettlement, Somerleyton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerleyton
Context triple: [Suffolk, England, containsSettlement, Somerleyton]
  • A. Dereham
    Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
  • B. Kempshott
    Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
  • C. Sturminster Marshall
    Sturminster Marshall is a village and civil parish in Dorset, England, known for its rural character and historic parish church.
  • D. Alnmouth
    Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
  • E. Hunstanton
    Hunstanton is a seaside town on the north coast of Norfolk, England, known for its distinctive striped cliffs and sandy beaches on The Wash.
  • 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: Somerleyton
Triple: [Suffolk, England, containsSettlement, Somerleyton]
Generated description
Somerleyton is a village in Suffolk, England, known for its historic Somerleyton Hall and well-preserved Victorian estate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Somerleyton
Target entity description: Somerleyton is a village in Suffolk, England, known for its historic Somerleyton Hall and well-preserved Victorian estate.
  • A. Dereham
    Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
  • B. Kempshott
    Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
  • C. Sturminster Marshall
    Sturminster Marshall is a village and civil parish in Dorset, England, known for its rural character and historic parish church.
  • D. Alnmouth
    Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
  • E. Hunstanton
    Hunstanton is a seaside town on the north coast of Norfolk, England, known for its distinctive striped cliffs and sandy beaches on The Wash.
  • 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_69afce92b40c8190a6ed3e6c06f15c79 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf3aa64081909fe4007d94df48c2 completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcfe8a140819095daa37d539e4c72 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:58 p.m.