Triple

T12743469
Position Surface form Disambiguated ID Type / Status
Subject Tyneside urban area E304544 entity
Predicate hasPart P35 FINISHED
Object Dunston
Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
 E1001233 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: Dunston | Statement: [Tyneside urban area, hasPart, Dunston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dunston
Context triple: [Tyneside urban area, hasPart, Dunston]
  • A. Dunsdale
    Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
  • B. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • C. Denniston
    Denniston is a historic former coal-mining town on New Zealand’s rugged West Coast, known for its dramatic plateau setting and the famous Denniston Incline.
  • D. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • E. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • 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: Dunston
Triple: [Tyneside urban area, hasPart, Dunston]
Generated description
Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dunston
Target entity description: Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
  • A. Dunsdale
    Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
  • B. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • C. Denniston
    Denniston is a historic former coal-mining town on New Zealand’s rugged West Coast, known for its dramatic plateau setting and the famous Denniston Incline.
  • D. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • E. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.