Triple

T7276681
Position Surface form Disambiguated ID Type / Status
Subject Antoinette de Mauban E163047 entity
Predicate fictionalUniverse P3758 FINISHED
Object Ruritania E135967 NE 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: Ruritania | Statement: [Antoinette de Mauban, fictionalUniverse, Ruritania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruritania
Context triple: [Antoinette de Mauban, fictionalUniverse, Ruritania]
  • A. Ruritania chosen
    Ruritania is a fictional Central European kingdom best known as the setting for Anthony Hope’s adventure novel "The Prisoner of Zenda" and as the archetype of the "Ruritanian romance" genre.
  • B. Turania
    Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
  • C. Genovia
    Genovia is a fictional European principality best known as the royal setting of Meg Cabot’s "The Princess Diaries" series and its film adaptations.
  • D. Freedonia
    Freedonia is the fictional European country featured in the Marx Brothers' classic 1933 comedy film "Duck Soup."
  • E. Wallia
    Wallia was a 5th-century king of the Visigoths known for leading his people in campaigns and negotiations with the Western Roman Empire that helped establish the Visigothic presence in Gaul and Hispania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb2f239c819097c1ac4d6de8b0e5 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e52f96008190886f6115329a07ab completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:59 p.m.