Triple

T5557705
Position Surface form Disambiguated ID Type / Status
Subject Blandings Castle canon E145686 entity
Predicate hasPrimaryLocationType P28105 FINISHED
Object English country house LITERAL FINISHED

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: English country house | Statement: [Blandings Castle canon, hasPrimaryLocationType, English country house]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLocationType
Context triple: [Blandings Castle canon, hasPrimaryLocationType, English country house]
  • A. hasMainLocationType chosen
    Indicates that an entity is associated with a primary or predominant type of location that characterizes where it is mainly situated or operates.
  • B. hasPrimaryAssetLocation
    Indicates that an entity’s main or principal asset is located at a specified place or facility.
  • C. hasPrimaryServiceArea
    Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
  • D. isPrimaryFacilityFor
    Indicates that one facility serves as the main or principal location responsible for supporting or serving a particular entity or operation.
  • E. hasPrimarySeat
    Indicates that one entity is designated as the main or principal seat, location, or position associated with another entity.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffe12cc81908186f28ace0f4d82 completed March 22, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.