Triple

T31639454
Position Surface form Disambiguated ID Type / Status
Subject Thomas Cochrane, 10th Earl of Dundonald E807404 entity
Predicate wasRestoredTo P121235 FINISHED
Object Royal Navy rank and honors 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: Royal Navy rank and honors | Statement: [Thomas Cochrane, 10th Earl of Dundonald, wasRestoredTo, Royal Navy rank and honors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasRestoredTo
Context triple: [Thomas Cochrane, 10th Earl of Dundonald, wasRestoredTo, Royal Navy rank and honors]
  • A. wasRestoredAt
    Indicates that an entity was brought back to a previous or improved state at a specific time or place.
  • B. restoredBy
    Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
  • C. laterRestored chosen
    Indicates that something previously altered, damaged, or removed was subsequently brought back to its earlier state or condition.
  • D. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • E. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • 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_69f348d892948190915f8facacb9568c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a9195b0c81909d6799d8d5d1ab33 completed May 3, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69f6a757c6e081908e37631e5d8d246b completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:48 p.m.