Triple

T329146
Position Surface form Disambiguated ID Type / Status
Subject Berkshire, England E6585 entity
Predicate royalStatusReason P917 FINISHED
Object presence of Windsor Castle 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: presence of Windsor Castle | Statement: [Berkshire, England, royalStatusReason, presence of Windsor Castle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: royalStatusReason
Context triple: [Berkshire, England, royalStatusReason, presence of Windsor Castle]
  • A. reasonForStartOfReign
    Indicates the cause, circumstance, or event that led to the beginning of an entity’s reign.
  • B. legalStatusOfMonarch
    Indicates the legal status or standing that a monarch holds within a given legal or constitutional framework.
  • C. hasRoyalConnection chosen
    Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
  • D. monarchyStatus
    Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
  • E. regentOf
    Indicates a relationship where one entity serves as the ruling authority or caretaker governing on behalf of another entity, typically during the latter’s minority, absence, or incapacity.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaad37b0819085beda2a491da9a8 completed Feb. 28, 2026, 1:16 p.m.
PD Predicate disambiguation batch_69a2e94aab1c8190b8654708c87eeb91 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.