Triple
T19796050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Januária of Brazil |
E475542
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Januária |
—
|
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: Januária | Statement: [Januária of Brazil, givenName, Januária]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Januária Context triple: [Januária of Brazil, givenName, Januária]
-
A.
Januária
chosen
Januária was a Brazilian princess of the Empire of Brazil, daughter of Emperor Pedro I and heir presumptive before the birth of her younger brother Pedro II.
-
B.
Meámbar
Meámbar is a town and municipality located in the Comayagua Department of central Honduras.
-
C.
Marcho
Marcho is a hobbit from J.R.R. Tolkien’s legendarium who, along with his brother Blanco, is credited with leading the hobbits across the River Baranduin and establishing their homeland in the Shire.
-
D.
Iulis
Iulis is an ancient Greek city, historically known as Ioulis, located on the island of Kea in the Cyclades.
-
E.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c659088190928fa4c9264135d3 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.