Triple

T31878317
Position Surface form Disambiguated ID Type / Status
Subject Dowager Duchess E813804 entity
Predicate mayRetain P121920 FINISHED
Object honorary precedence 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: honorary precedence | Statement: [Dowager Duchess, mayRetain, honorary precedence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayRetain
Context triple: [Dowager Duchess, mayRetain, honorary precedence]
  • A. canRetain chosen
    Indicates that one entity has the ability or permission to keep, hold, or maintain possession or control of another entity over time.
  • B. mayHold
    Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
  • C. mayRemove
    Indicates that one entity is permitted or authorized to remove another entity or its association.
  • D. mustRetain
    Indicates that an entity is required to keep or preserve another entity and is not allowed to discard, delete, or release it.
  • E. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • 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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b0a957d081908568bf21fc4998dc completed May 3, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:55 p.m.