Triple

T676290
Position Surface form Disambiguated ID Type / Status
Subject Tyne and Wear Metro E13083 entity
Predicate regionServed P82 FINISHED
Object Wearside
Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
 E109554 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: Wearside | Statement: [Tyne and Wear Metro, regionServed, Wearside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wearside
Context triple: [Tyne and Wear Metro, regionServed, Wearside]
  • A. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • B. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • C. Prescot
    Prescot is a historic town in the Metropolitan Borough of Knowsley in Merseyside, England, known for its watchmaking heritage and proximity to Liverpool.
  • D. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • E. Paisley
    Paisley is a large town in the west of Scotland known for its historic textile industry and as the origin of the famous paisley pattern.
  • 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: Wearside
Triple: [Tyne and Wear Metro, regionServed, Wearside]
Generated description
Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wearside
Target entity description: Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
  • A. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • B. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • C. Prescot
    Prescot is a historic town in the Metropolitan Borough of Knowsley in Merseyside, England, known for its watchmaking heritage and proximity to Liverpool.
  • D. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • E. Paisley
    Paisley is a large town in the west of Scotland known for its historic textile industry and as the origin of the famous paisley pattern.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04b2ae881908a5c23453bef8572 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edf6b02c8190995c50a98b4ec326 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a7f1cc03b48190a291ca9c20646648 completed March 4, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7f26264d48190ad04ee855523fcc1 completed March 4, 2026, 8:50 a.m.
Created at: March 1, 2026, 7:36 p.m.