Triple

T1305378
Position Surface form Disambiguated ID Type / Status
Subject EGGP E27862 entity
Predicate airportRegion P2903 FINISHED
Object Merseyside E12624 NE FINISHED

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: [EGGP, airportRegion, Merseyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merseyside
Context triple: [EGGP, airportRegion, 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. 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.
  • E. 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.
  • 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: airportRegion
Context triple: [EGGP, airportRegion, Merseyside]
  • A. hasRegionalAirport
    Indicates that a place or region possesses or is served by a regional airport.
  • B. otherRegionalAirports
    Indicates that the entities are airports located in different regions from each other but considered as alternative or comparable regional airports.
  • C. hasAirportCodeRegion
    Indicates that an airport code is associated with, or belongs to, a specific geographic or administrative region.
  • D. airportLocatedIn chosen
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • E. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • F. None of above.

Provenance (4 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13524d481909e8f5bb2ab91f6e4 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5fa07c8190a410461d51ef1f3a completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4bee8544c8190874efd9bae9bccf9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.