Triple

T11193431
Position Surface form Disambiguated ID Type / Status
Subject Woodside ferry terminal E264859 entity
Predicate locatedIn P40 FINISHED
Object Wirral E73697 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: Wirral | Statement: [Woodside ferry terminal, locatedIn, Wirral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wirral
Context triple: [Woodside ferry terminal, locatedIn, Wirral]
  • A. Wirral chosen
    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.
  • B. Wirral South
    Wirral South is a UK parliamentary constituency on the Wirral Peninsula in Merseyside, represented in the House of Commons.
  • C. Sefton
    Sefton is a metropolitan borough in North West England that includes coastal towns such as Southport and forms part of the Liverpool City Region.
  • D. Sefton
    Sefton is a small rural settlement in the Waimakariri District of Canterbury, New Zealand.
  • E. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496ff48448190982d4477039a13d8 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.