Triple
T19866753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Donbas (2022) |
E477410
|
entity |
| Predicate | frontlineCity |
P3207
|
FINISHED |
| Object | Bakhmut |
—
|
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: Bakhmut | Statement: [Battle of Donbas (2022), frontlineCity, Bakhmut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakhmut Context triple: [Battle of Donbas (2022), frontlineCity, Bakhmut]
-
A.
Bakhmut
chosen
Bakhmut is a city in eastern Ukraine, historically an important industrial and transport hub and more recently a focal point of intense fighting in the Russo-Ukrainian war.
-
B.
Severodonetsk
Severodonetsk is an industrial city in eastern Ukraine’s Luhansk region, known for its chemical industry and its strategic significance in the Donbas conflict.
-
C.
Artemivsk
Artemivsk is the former Soviet-era name of the Ukrainian city now known as Bakhmut, located in the Donetsk region of eastern Ukraine.
-
D.
Donets Ridge
Donets Ridge is a hilly upland region in eastern Ukraine known for its elevated terrain and significant coal and mineral resources.
-
E.
Kupiansk
Kupiansk is a strategically important city in Ukraine’s Kharkiv Oblast, serving as a key railway and logistics hub near the front lines of the Russo-Ukrainian War.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.