Triple

T16530787
Position Surface form Disambiguated ID Type / Status
Subject Poole–Bournemouth conurbation E401559 entity
Predicate hasSuburb P747 FINISHED
Object Waterloo
Waterloo is a suburban area within the Poole–Bournemouth urban region on the south coast of England.
E1222188 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: Waterloo | Statement: [Poole–Bournemouth conurbation, hasSuburb, Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo
Context triple: [Poole–Bournemouth conurbation, hasSuburb, Waterloo]
  • A. Waterloo
    Waterloo is a major district in central London known for its busy railway station, cultural venues like the Southbank Centre, and proximity to landmarks such as the London Eye and the River Thames.
  • B. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • C. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • D. Waterloo
    Waterloo is a small village in eastern Nebraska, United States, located along the Elkhorn River just west of Omaha.
  • E. Waterloo
    Waterloo is an inner-city suburb of Sydney, Australia, known for its mix of public housing, industrial heritage, and rapid urban redevelopment.
  • 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: Waterloo
Triple: [Poole–Bournemouth conurbation, hasSuburb, Waterloo]
Generated description
Waterloo is a suburban area within the Poole–Bournemouth urban region on the south coast of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waterloo
Target entity description: Waterloo is a suburban area within the Poole–Bournemouth urban region on the south coast of England.
  • A. Waterloo
    Waterloo is a coastal town in the Metropolitan Borough of Sefton, Merseyside, England, known for its stretch of beach and proximity to Liverpool.
  • B. Waterloo
    Waterloo is an inner-city suburb of Sydney, Australia, known for its mix of public housing, industrial heritage, and rapid urban redevelopment.
  • C. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • D. Waterloo
    Waterloo is a major district in central London known for its busy railway station, cultural venues like the Southbank Centre, and proximity to landmarks such as the London Eye and the River Thames.
  • E. Waterloo
    Waterloo is a mid-sized Canadian city in southwestern Ontario known for its universities, tech industry, and role within the Kitchener–Waterloo metropolitan area.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed741088190a285f8f9431810f3 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758d82748190acfb8bbc3047d5a5 completed May 10, 2026, 12:09 p.m.
NEDg Description generation batch_6a00762ce9a881908b41b610c3f14780 completed May 10, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a007734abd481909c9c698f2aef7632 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:14 a.m.