Triple

T4890807
Position Surface form Disambiguated ID Type / Status
Subject Wearside E109554 entity
Predicate contains P35 FINISHED
Object Silksworth
Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
 E476536 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: Silksworth | Statement: [Wearside, contains, Silksworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silksworth
Context triple: [Wearside, contains, Silksworth]
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • C. Elswick
    Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
  • D. Wilford
    Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
  • E. Mouseton
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • 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: Silksworth
Triple: [Wearside, contains, Silksworth]
Generated description
Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silksworth
Target entity description: Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • C. Elswick
    Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
  • D. Wilford
    Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
  • E. Mouseton
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.