Triple

T6162275
Position Surface form Disambiguated ID Type / Status
Subject Mia Thermopolis E137468 entity
Predicate citizenship P2 FINISHED
Object Genovia (fictional) E586951 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: Genovia (fictional) | Statement: [Mia Thermopolis, citizenship, Genovia (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genovia (fictional)
Context triple: [Mia Thermopolis, citizenship, Genovia (fictional)]
  • A. Genovia chosen
    Genovia is a fictional European principality best known as the royal setting of Meg Cabot’s "The Princess Diaries" series and its film adaptations.
  • B. Freedonia
    Freedonia is the fictional European country featured in the Marx Brothers' classic 1933 comedy film "Duck Soup."
  • C. Ruritania
    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.
  • D. Cyndia
    Cyndia is an alternative given name or spelling derived from the name Cynthia.
  • E. Gergovia
    Gergovia was an ancient Arvernian hilltop settlement in Gaul, best known as the site where Vercingetorix won a major victory over Julius Caesar during the Gallic Wars.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6384fece08190ba78bf08d7ee5d4a completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:17 p.m.