Triple

T12352743
Position Surface form Disambiguated ID Type / Status
Subject Grand Duke of Frankfurt (titular) E294531 entity
Predicate typeOfMonarchicalTitle P17683 FINISHED
Object secular title 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: secular title | Statement: [Grand Duke of Frankfurt (titular), typeOfMonarchicalTitle, secular title]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfMonarchicalTitle
Context triple: [Grand Duke of Frankfurt (titular), typeOfMonarchicalTitle, secular title]
  • A. styleOfMonarchTitle
    Indicates the specific formal style or wording used in the official title of a monarch.
  • B. royalTitularyFeature
    Indicates that something is a characteristic or component element of a royal titulary (the formal set of titles held by a monarch).
  • C. representativeOfMonarchTitle
    Indicates that one entity serves as the official representative or holder of authority on behalf of a monarch’s title.
  • D. isRoyalTitle chosen
    Indicates that something is a formal title associated with royalty or a royal rank.
  • E. regentTitle
    Indicates the official title held by a person serving as regent (i.e., governing on behalf of another, such as a monarch or minor).
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8aa33c8190b22b7dff9559b8ed completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.