Triple

T2869234
Position Surface form Disambiguated ID Type / Status
Subject High Street Kensington Underground station E63516 entity
Predicate hasNearbyEmbassyArea P37930 FINISHED
Object Kensington E14419 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: Kensington | Statement: [High Street Kensington Underground station, hasNearbyEmbassyArea, Kensington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensington
Context triple: [High Street Kensington Underground station, hasNearbyEmbassyArea, Kensington]
  • A. Kensington chosen
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • B. Kensington
    Kensington is a small, affluent unincorporated community in Contra Costa County, California, located in the San Francisco Bay Area.
  • C. Kensington
    Kensington is a popular inner-city district in Calgary known for its vibrant mix of shops, restaurants, and cultural venues.
  • D. Kensington
    Kensington is a historic Philadelphia neighborhood known for its industrial past and ongoing urban redevelopment.
  • E. Kensington
    Kensington is an inner-city suburb of Sydney, Australia, known for hosting the main campus of the University of New South Wales.
  • 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: hasNearbyEmbassyArea
Context triple: [High Street Kensington Underground station, hasNearbyEmbassyArea, Kensington]
  • A. hasTribalHeadquartersNearby
    Indicates that the subject entity is located close to the tribal headquarters of a Native nation or tribe.
  • B. hasNearbyBorough
    Indicates that one borough is geographically close to or adjacent to another borough.
  • C. isLocatedInDiplomaticQuarter
    Indicates that one entity is situated within or belongs to the designated diplomatic quarter area.
  • D. locatedInDiplomaticArea chosen
    Indicates that an entity is situated within a designated diplomatic area, such as an embassy district or diplomatic quarter.
  • E. hasDiplomaticMission
    Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfe15ff081908dd1dad62c292b2b completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f2e10b0819090455b876abe821b completed March 12, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69abdd142e4c8190b424cb0c5ff40d04 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.