Triple

T540867
Position Surface form Disambiguated ID Type / Status
Subject Merseyside E12624 entity
Predicate hasSettlement P1068 FINISHED
Object Southport
Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
 E68739 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: Southport | Statement: [Merseyside, hasSettlement, Southport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southport
Context triple: [Merseyside, hasSettlement, Southport]
  • A. Blackpool
    Blackpool is a famous seaside resort town in northwest England known for its beach, promenade, and landmark Blackpool Tower.
  • B. Barrow-in-Furness
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • C. Morecambe
    Morecambe is a seaside resort town on the coast of Morecambe Bay in north-west England, known for its promenade, beaches, and views across the bay to the Lake District.
  • D. Burgh by Sands
    Burgh by Sands is a village in Cumbria, England, historically notable as the place where King Edward I died in 1307 during a campaign against Scotland.
  • E. Saltney
    Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
  • 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: Southport
Triple: [Merseyside, hasSettlement, Southport]
Generated description
Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Southport
Target entity description: Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • A. Blackpool
    Blackpool is a famous seaside resort town in northwest England known for its beach, promenade, and landmark Blackpool Tower.
  • B. Barrow-in-Furness
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • C. Morecambe
    Morecambe is a seaside resort town on the coast of Morecambe Bay in north-west England, known for its promenade, beaches, and views across the bay to the Lake District.
  • D. Burgh by Sands
    Burgh by Sands is a village in Cumbria, England, historically notable as the place where King Edward I died in 1307 during a campaign against Scotland.
  • E. Saltney
    Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985feee481908184a39210feab95 completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e02ab7dc819092a210eb0fcd59f4 completed March 2, 2026, 12:56 a.m.
NEDg Description generation batch_69a4e124306c8190bce165e684507553 completed March 2, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a4e1e73b0c8190b4f050f76f8e58de completed March 2, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:32 p.m.