Triple

T2801519
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Blythburgh
Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
 E299712 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: Blythburgh | Statement: [Suffolk, England, containsSettlement, Blythburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blythburgh
Context triple: [Suffolk, England, containsSettlement, Blythburgh]
  • A. Eynesbury
    Eynesbury is a historic district and former village now effectively part of the town of St Neots in Cambridgeshire, England.
  • B. Amesbury
    Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
  • C. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • D. Swaffham
    Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
  • E. Kempshott
    Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
  • 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: Blythburgh
Triple: [Suffolk, England, containsSettlement, Blythburgh]
Generated description
Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blythburgh
Target entity description: Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
  • A. Eynesbury
    Eynesbury is a historic district and former village now effectively part of the town of St Neots in Cambridgeshire, England.
  • B. Amesbury
    Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
  • C. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • D. Swaffham
    Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
  • E. Kempshott
    Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
  • 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.