Triple
T989911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Caucasus |
E21364
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Grozny |
E26451
|
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: Grozny | Statement: [North Caucasus, hasCity, Grozny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grozny Context triple: [North Caucasus, hasCity, Grozny]
-
A.
Grozny
chosen
Grozny is the capital and largest city of the Chechen Republic in southwestern Russia, known for its turbulent recent history and extensive post-war reconstruction.
-
B.
Makhachkala
Makhachkala is the largest city and main political, economic, and cultural center of the Russian republic of Dagestan, located on the western shore of the Caspian Sea.
-
C.
Vladikavkaz
Vladikavkaz is a major city in the North Caucasus region of Russia, serving as the capital of the Republic of North Ossetia–Alania and an important cultural and industrial center.
-
D.
Kazan
Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
-
E.
Volgograd
Volgograd is a major city in southwestern Russia on the Volga River, historically known as Stalingrad and renowned as the site of one of World War II’s most pivotal and brutal battles.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4ac27e081908f132115464667b2 |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15899808819090f6e26a40f7b2aa |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 7:41 p.m.