Triple

T35913738
Position Surface form Disambiguated ID Type / Status
Subject Chevening, Kent E1038689 entity
Predicate hasOfficialResidenceNearby P159377 FINISHED
Object Chevening House 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: Chevening House | Statement: [Chevening, Kent, hasOfficialResidenceNearby, Chevening House]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialResidenceNearby
Context triple: [Chevening, Kent, hasOfficialResidenceNearby, Chevening House]
  • A. hasNearbyRoyalResidence
    Indicates that one entity has a royal residence located in close physical proximity to it.
  • B. hasNearbyPoliticalResidence chosen
    Indicates that one entity has a political residence (such as an official home or office of a political figure) located in close physical proximity to another entity.
  • C. residenceAssociatedWithOffice
    Indicates a relationship where a residence is connected or linked to a particular office, such as being located at, attached to, or officially designated for that office.
  • D. residesNear
    Indicates that one entity lives or is located in close physical proximity to another entity.
  • E. favoriteResidenceOf
    Indicates that a particular residence is the one most preferred or liked by a given person or entity among all residences associated with them.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:07 p.m.