Triple

T2777485
Position Surface form Disambiguated ID Type / Status
Subject Windsor and Maidenhead E61607 entity
Predicate contains P35 FINISHED
Object Wraysbury
Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
 E296388 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: Wraysbury | Statement: [Windsor and Maidenhead, contains, Wraysbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wraysbury
Context triple: [Windsor and Maidenhead, contains, Wraysbury]
  • A. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Langworthy
    Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
  • D. Fulbourn
    Fulbourn is a village and civil parish located just southeast of Cambridge in the district of South Cambridgeshire, England.
  • E. Wolterton
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • 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: Wraysbury
Triple: [Windsor and Maidenhead, contains, Wraysbury]
Generated description
Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wraysbury
Target entity description: Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
  • A. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Langworthy
    Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
  • D. Fulbourn
    Fulbourn is a village and civil parish located just southeast of Cambridge in the district of South Cambridgeshire, England.
  • E. Wolterton
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05adf908190bd16bbb6f8ea213a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0d32d5881908b80e0bfca5cd873 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc13548088190a2d5f48144c853a4 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.