Triple
T23514592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Thermopolis |
E574320
|
entity |
| Predicate | fictionalCountry |
P20932
|
FINISHED |
| Object | Genovia |
—
|
NE NERFINISHED |
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 | Statement: [Mia Thermopolis, fictionalCountry, Genovia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genovia Context triple: [Mia Thermopolis, fictionalCountry, Genovia]
-
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.
Westlandia
Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
-
D.
Toronia
Toronia is a small genus of flowering plants in the Proteaceae family, native to Australia and closely related to the genus Persoonia.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.