Triple

T3089728
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Freston
Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
 E328261 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: Freston | Statement: [Suffolk, containsSettlement, Freston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Freston
Context triple: [Suffolk, containsSettlement, Freston]
  • A. Cockfosters
    Cockfosters is a suburban area in north London best known for its London Underground station that serves as the northern terminus of the Piccadilly line.
  • B. Pyrford
    Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
  • C. Warlingham
    Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
  • D. 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.
  • E. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • 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: Freston
Triple: [Suffolk, containsSettlement, Freston]
Generated description
Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Freston
Target entity description: Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
  • A. Cockfosters
    Cockfosters is a suburban area in north London best known for its London Underground station that serves as the northern terminus of the Piccadilly line.
  • B. Pyrford
    Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
  • C. Warlingham
    Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
  • D. 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.
  • E. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • 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_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b207d7771c8190974bba03a63295c1 completed March 12, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69b20bc77c188190aa5c412cf9a9f914 completed March 12, 2026, 12:41 a.m.
Created at: March 8, 2026, 3:03 p.m.