Triple
T19385825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | administration of Chaunsky District |
E484930
|
entity |
| Predicate | hasOfficialLanguage |
P236
|
FINISHED |
| Object | Russian language |
—
|
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: Russian language | Statement: [administration of Chaunsky District, hasOfficialLanguage, Russian language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian language Context triple: [administration of Chaunsky District, hasOfficialLanguage, Russian language]
-
A.
Russian language
chosen
Russian is an East Slavic language spoken primarily in Russia and neighboring countries, serving as one of the world's major languages in politics, science, and culture.
-
B.
Russian
Russian is an East Slavic language that serves as the official language of Russia and a major lingua franca across much of Eastern Europe and Central Asia.
-
C.
Russan
Russan is a commune in southern France situated along the Gardon River.
-
D.
Russo
Russo is an Italian surname commonly used as a variant of Rossi, often associated with people of Italian heritage.
-
E.
Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b40d1148190b4fcd9ad56aa6910 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:35 p.m.