Triple

T709769
Position Surface form Disambiguated ID Type / Status
Subject Cumbria E14179 entity
Predicate contains P35 FINISHED
Object Penrith
Penrith is a historic market town in northwest England, known as a gateway to the Lake District and for its medieval ruins and traditional architecture.
 E97269 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: Penrith | Statement: [Cumbria, contains, Penrith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penrith
Context triple: [Cumbria, contains, Penrith]
  • A. Workington
    Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
  • B. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • C. Southport
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • D. Southport
    Southport is a major coastal suburb and business hub of the City of Gold Coast in Queensland, Australia, known for its waterfront, shopping, and commercial precincts.
  • E. Scarborough
    Scarborough is a large, diverse district in the eastern part of Toronto known for its multicultural communities, parks, and coastal bluffs along Lake Ontario.
  • 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: Penrith
Triple: [Cumbria, contains, Penrith]
Generated description
Penrith is a historic market town in northwest England, known as a gateway to the Lake District and for its medieval ruins and traditional architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penrith
Target entity description: Penrith is a historic market town in northwest England, known as a gateway to the Lake District and for its medieval ruins and traditional architecture.
  • A. Workington
    Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
  • B. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • C. Southport
    Southport is a major coastal suburb and business hub of the City of Gold Coast in Queensland, Australia, known for its waterfront, shopping, and commercial precincts.
  • D. Southport
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • E. Scarborough
    Scarborough is a large, diverse district in the eastern part of Toronto known for its multicultural communities, parks, and coastal bluffs along Lake Ontario.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55b63988190837e71fcdf3e39a6 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d71a25c81908de9b9e59affb79f completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78586d5a48190a1423bb4a8fc86b9 completed March 4, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69a785db28d48190a8f945598a3396d6 completed March 4, 2026, 1:07 a.m.
Created at: March 1, 2026, 7:36 p.m.