Triple

T15776368
Position Surface form Disambiguated ID Type / Status
Subject Prinz von Belgien E382501 entity
Predicate coreNoun P64612 FINISHED
Object Prinz E195436 NE FINISHED

How this triple was built (3 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: Prinz | Statement: [Prinz von Belgien, coreNoun, Prinz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prinz
Context triple: [Prinz von Belgien, coreNoun, Prinz]
  • A. Prinz chosen
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • B. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • C. Prence
    Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • D. Príncipe
    Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
  • E. Fürst
    Fürst is a German noble title historically ranking below a duke and above a count, often translated as "prince" in English.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coreNoun
Context triple: [Prinz von Belgien, coreNoun, Prinz]
  • A. coreCategory chosen
    Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
  • B. core
    Indicates a central, most important, or foundational part of something in relation to its surrounding or supporting elements.
  • C. commonConcept
    Indicates that two or more entities share the same underlying idea, notion, or conceptual meaning.
  • D. primaryConcept
    Indicates that one concept is the main or central idea in relation to another concept or context.
  • E. coreIdea
    Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
  • F. None of above.

Provenance (4 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877e67b881908a67b9acc79d998f completed May 9, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.