Triple

T1894737
Position Surface form Disambiguated ID Type / Status
Subject Lord Lieutenant of Berkshire E41952 entity
Predicate modernFunction P3657 FINISHED
Object purely ceremonial role 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: purely ceremonial role | Statement: [Lord Lieutenant of Berkshire, modernFunction, purely ceremonial role]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernFunction
Context triple: [Lord Lieutenant of Berkshire, modernFunction, purely ceremonial role]
  • A. traditionalFunction
    Indicates that an entity serves a customary or historically established role or purpose within a cultural or social context.
  • B. modernUse chosen
    Indicates how something is currently used or applied in modern times.
  • C. formerFunction
    Indicates that an entity previously held a specific role, position, or function but no longer does so.
  • D. originalFunction
    Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
  • E. publicFunction
    Indicates that a function or method is accessible from outside its defining scope, module, or class (i.e., it has public visibility).
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16c09e48190a345c95eab59fd87 completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe7e7e88190b58c0df59187c0c2 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.