Triple

T3089883
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Thelnetham
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
 E330664 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: Thelnetham | Statement: [Suffolk, containsSettlement, Thelnetham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thelnetham
Context triple: [Suffolk, containsSettlement, Thelnetham]
  • A. Teversham
    Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
  • B. Thatcham
    Thatcham is a historic market town in Berkshire, England, often cited as one of the oldest continuously inhabited settlements in the country.
  • C. Ashtead
    Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
  • D. Twyford
    Twyford is a village and civil parish in Berkshire, England, known as a commuter settlement between Reading and London.
  • 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: Thelnetham
Triple: [Suffolk, containsSettlement, Thelnetham]
Generated description
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thelnetham
Target entity description: Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
  • A. Teversham
    Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
  • B. Thatcham
    Thatcham is a historic market town in Berkshire, England, often cited as one of the oldest continuously inhabited settlements in the country.
  • C. Ashtead
    Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
  • D. Twyford
    Twyford is a village and civil parish in Berkshire, England, known as a commuter settlement between Reading and London.
  • 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_69b224bff19c8190b28c07e3fb018853 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b22557dd4c8190841800d39b328d77 completed March 12, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69b225b352f48190825859a862a57fd1 completed March 12, 2026, 2:32 a.m.
Created at: March 8, 2026, 3:03 p.m.