Triple

T8897752
Position Surface form Disambiguated ID Type / Status
Subject King Ban of Benwick E211847 entity
Predicate realm P12844 FINISHED
Object Benwick
Benwick is a legendary kingdom in Arthurian romance traditionally ruled by King Ban and associated with the early exploits of Sir Lancelot.
 E764927 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: Benwick | Statement: [King Ban of Benwick, realm, Benwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benwick
Context triple: [King Ban of Benwick, realm, Benwick]
  • A. Benwell
    Benwell is a residential district in the west end of Newcastle upon Tyne, England, known for its historical industrial roots and subsequent urban regeneration.
  • B. Wallington
    Wallington is a suburban town in the London Borough of Sutton, known for its residential character, grammar schools, and green spaces in south London, England.
  • C. Wallington
    Wallington is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional countryside character.
  • D. Raby
    Raby is a surname of English origin borne by various notable individuals and families.
  • E. Whitley Bay
    Whitley Bay is a coastal town in North Tyneside, England, known for its sandy beaches, seaside promenade, and the nearby St Mary's Island with its iconic lighthouse.
  • 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: Benwick
Triple: [King Ban of Benwick, realm, Benwick]
Generated description
Benwick is a legendary kingdom in Arthurian romance traditionally ruled by King Ban and associated with the early exploits of Sir Lancelot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benwick
Target entity description: Benwick is a legendary kingdom in Arthurian romance traditionally ruled by King Ban and associated with the early exploits of Sir Lancelot.
  • A. Benwell
    Benwell is a residential district in the west end of Newcastle upon Tyne, England, known for its historical industrial roots and subsequent urban regeneration.
  • B. Wallington
    Wallington is a suburban town in the London Borough of Sutton, known for its residential character, grammar schools, and green spaces in south London, England.
  • C. Wallington
    Wallington is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional countryside character.
  • D. Raby
    Raby is a surname of English origin borne by various notable individuals and families.
  • E. Whitley Bay
    Whitley Bay is a coastal town in North Tyneside, England, known for its sandy beaches, seaside promenade, and the nearby St Mary's Island with its iconic lighthouse.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6424a8c08190aef2aa2079dd85f1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac093034819085d8fb1832ec5d73 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacb58f208190b5e8eeba58f1bd78 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad6fff348190b0491ba38d2e6ce5 completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:54 p.m.