Triple

T2648259
Position Surface form Disambiguated ID Type / Status
Subject Cumberland E53833 entity
Predicate containsSettlement P847 FINISHED
Object Brampton
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
 E344389 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: Brampton | Statement: [Cumberland, containsSettlement, Brampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brampton
Context triple: [Cumberland, containsSettlement, Brampton]
  • A. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • B. Vaughan
    Vaughan is a surname of Welsh origin that is notably associated with influential figures such as blues guitarist Stevie Ray Vaughan.
  • C. Vaughan
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • D. Oshawa
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • E. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • 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: Brampton
Triple: [Cumberland, containsSettlement, Brampton]
Generated description
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brampton
Target entity description: Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
  • A. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • B. Vaughan
    Vaughan is a surname of Welsh origin that is notably associated with influential figures such as blues guitarist Stevie Ray Vaughan.
  • C. Vaughan
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • D. Oshawa
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • E. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e803e994819085dae09224fae2a3 completed March 12, 2026, 4:21 p.m.
NEDg Description generation batch_69b2e9b82a288190a6c1700e19966de6 completed March 12, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea0d98ec8190beb74a32f46554bc completed March 12, 2026, 4:30 p.m.
Created at: March 6, 2026, 9:53 p.m.