Triple

T5001646
Position Surface form Disambiguated ID Type / Status
Subject Hindley railway station E112385 entity
Predicate servesRoute P31354 FINISHED
Object Southport – Manchester 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 – Manchester | Statement: [Hindley railway station, servesRoute, Southport – Manchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southport – Manchester
Context triple: [Hindley railway station, servesRoute, Southport – Manchester]
  • A. Manchester to Blackpool
    Manchester to Blackpool is a historic and popular railway route in northwest England linking the major city of Manchester with the seaside resort town of Blackpool.
  • B. Southport
    Southport is a small city located within Marion County in the U.S. state of Indiana.
  • C. Southport
    Southport is an elevated Chicago 'L' train station in the Lakeview neighborhood, serving the CTA Brown Line.
  • D. Southport chosen
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • E. 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.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72bf0de08190a07419514afc3a06 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92598ff88190b63a589524180272 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:34 p.m.