Triple
T6560816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makhachkala |
E153776
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Russian |
E3584
|
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: Russian | Statement: [Makhachkala, officialLanguage, Russian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian Context triple: [Makhachkala, officialLanguage, Russian]
-
A.
Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
-
B.
Russin
Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
-
C.
Russi
Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
-
D.
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.
-
E.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.