Triple

T19889515
Position Surface form Disambiguated ID Type / Status
Subject Willy Russell E477989 entity
Predicate influencedByRegion P23489 FINISHED
Object Merseyside NE NERFINISHED

How this triple was built (3 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: [Willy Russell, influencedByRegion, Merseyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merseyside
Context triple: [Willy Russell, influencedByRegion, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedByRegion
Context triple: [Willy Russell, influencedByRegion, Merseyside]
  • A. influencesRegion
    Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
  • B. hasRegionalInfluenceFrom
    Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
  • C. countryInfluence
    Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
  • D. regionOfCulturalImpact chosen
    Indicates the geographic area where an entity’s cultural influence, activities, or effects are most significantly felt or observed.
  • E. impactRegion
    Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
  • F. None of above.

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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ce9f48190a51c0e5ecc828a06 completed April 20, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69e537ecda248190895c96afb6243823 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.