Triple

T1999409
Position Surface form Disambiguated ID Type / Status
Subject Manchester–Southport railway E43430 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: [Manchester–Southport railway, terminus, Southport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southport
Context triple: [Manchester–Southport railway, 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. Southport
    Southport is a small city located within Marion County in the U.S. state of Indiana.
  • D. 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.
  • E. Poulton-le-Fylde
    Poulton-le-Fylde is a historic market town in Lancashire, England, known for its traditional town centre and proximity to the seaside resort of Blackpool.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87dc8d08190907a6579c2b26d01 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae034122ec819096a72685b34c84b9 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.