Triple

T8887374
Position Surface form Disambiguated ID Type / Status
Subject Prince (kōshaku) of the kazoku peerage E211565 entity
Predicate roughlyEquivalentTitle P46701 FINISHED
Object British duke 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: British duke | Statement: [Prince (kōshaku) of the kazoku peerage, roughlyEquivalentTitle, British duke]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roughlyEquivalentTitle
Context triple: [Prince (kōshaku) of the kazoku peerage, roughlyEquivalentTitle, British duke]
  • A. equivalentOrRelatedTitle chosen
    Indicates that two titles are the same or sufficiently similar in meaning, role, or status to be treated as equivalent or closely related.
  • B. analogousTitle
    Indicates that one entity has a title or position that corresponds in role, rank, or function to the title or position held by another entity.
  • C. equivalentTitleInPortuguese
    Indicates that one entity has a title that is the equivalent of another entity’s title, specifically in Portuguese.
  • D. equivalentTitleInItalian
    Indicates that one entity’s title is an equivalent version of another entity’s title expressed in Italian.
  • E. equivalentTitleInPolish
    Indicates that one entity has a title in Polish that is equivalent in meaning or status to the title of 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618d4c188190810d2e38591f515a completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.