Triple

T19953671
Position Surface form Disambiguated ID Type / Status
Subject Shoddesden E479626 entity
Predicate partOf P40 FINISHED
Object Kimpton NE NERFINISHED

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: Kimpton | Statement: [Shoddesden, partOf, Kimpton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimpton
Context triple: [Shoddesden, partOf, Kimpton]
  • A. Kimpton
    Kimpton is a small rural village and civil parish in Hertfordshire, England, known for its historic church and traditional English countryside setting.
  • B. Kimpton chosen
    Kimpton is a rural civil parish and village in Hampshire, England, known for its historic church and countryside setting.
  • C. Kimpton Hotels
    Kimpton Hotels is a boutique hotel chain known for its stylish, design-focused properties and personalized guest experiences, primarily operating in urban locations across the United States and beyond.
  • D. Westin
    Westin is an upscale hotel and resort brand known for its wellness-focused amenities, including signature Heavenly Beds and fitness-oriented services.
  • E. Radisson
    Radisson is a French surname most notably associated with 17th-century explorer Pierre-Esprit Radisson, after whom various places and businesses, including the international hotel chain, are named.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aee23488190bd92c1593fbc241c completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.