Triple
T2528997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Vatutin |
E56109
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Kyiv, Ukrainian SSR, Soviet Union |
E17733
|
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: Kyiv, Ukrainian SSR, Soviet Union | Statement: [Nikolai Vatutin, placeOfDeath, Kyiv, Ukrainian SSR, Soviet Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyiv, Ukrainian SSR, Soviet Union Context triple: [Nikolai Vatutin, placeOfDeath, Kyiv, Ukrainian SSR, Soviet Union]
-
A.
Kiev, Russian Empire
Kiev, Russian Empire was a major city of the Russian Empire, now known as Kyiv, the capital of modern-day Ukraine.
-
B.
Khmelnytskyi, Ukraine
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and transportation center.
-
C.
Kyiv
chosen
Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
-
D.
Kiev Governorate
Kiev Governorate was an administrative division of the Russian Empire centered on the city of Kiev, encompassing much of central Ukraine in the 18th–early 20th centuries.
-
E.
Kharkiv
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd25903f08190b46e12d32278daca |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb3b55c81909e72ed055887ecca |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:46 p.m.