Triple
T22456740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riodonorês |
E555135
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Riodonor |
—
|
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: Riodonor | Statement: [Riodonorês, spokenIn, Riodonor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riodonor Context triple: [Riodonorês, spokenIn, Riodonor]
-
A.
Riodonorês
chosen
Riodonorês is a regional variety of the Mirandese language spoken in and around the village of Riodonor in northeastern Portugal.
-
B.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
C.
Un Rivera
Un Rivera is an American music executive and film director best known for his work in hip-hop and his association with artists like The Notorious B.I.G.
-
D.
Donen
Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
-
E.
The Norka
The Norka is a Russian fairy tale about a monstrous, shape-shifting underground creature and the hero who ventures into its realm to rescue kidnapped princesses.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7c428c8190847a259eef969525 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.