Triple

T9300914
Position Surface form Disambiguated ID Type / Status
Subject A59 E223757 entity
Predicate passesThrough P225 FINISHED
Object Merseyside E12624 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: Merseyside | Statement: [A59, passesThrough, Merseyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merseyside
Context triple: [A59, passesThrough, Merseyside]
  • A. Merseyside chosen
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • B. Tyne and Wear
    Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
  • C. Wirral
    Wirral is a peninsula in North West England known for its mix of coastal towns, suburban areas, and countryside between the River Mersey and the River Dee.
  • D. Tyneside
    Tyneside is an urban region in northeast England centered on the River Tyne, best known for the city of Newcastle and its strong football and industrial heritage.
  • E. Lancashire
    Lancashire is a historic county in North West England known for its role in the Industrial Revolution and major towns such as Lancaster, Preston, and 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d1d954819098be177addafa406 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.