Triple

T947649
Position Surface form Disambiguated ID Type / Status
Subject Atherton line E20447 entity
Predicate terminus P388 FINISHED
Object Southport E68739 NE FINISHED

How this triple was built (2 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: [Atherton line, terminus, Southport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southport
Context triple: [Atherton line, terminus, Southport]
  • A. Southport chosen
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • B. 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.
  • C. 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.
  • D. Maghull
    Maghull is a suburban town in Merseyside, England, situated to the north of Liverpool and functioning largely as a residential commuter area.
  • E. Hartlepool
    Hartlepool is a coastal town in County Durham, England, known historically for its shipbuilding and maritime heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3be19448190a8863fce3d152430 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e9b74e481908c7d8256bd180d73 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:40 p.m.