Triple
T20245073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debaltseve pocket |
E498402
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Debaltseve |
—
|
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: Debaltseve | Statement: [Debaltseve pocket, hasCenter, Debaltseve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debaltseve Context triple: [Debaltseve pocket, hasCenter, Debaltseve]
-
A.
Debaltseve
chosen
Debaltseve is a strategically important railway and road junction city in eastern Ukraine’s Donetsk Oblast, known for being a major flashpoint in the war in Donbas.
-
B.
Volnovakha
Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
-
C.
Berdiansk
Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
-
D.
Kamenets-Podolsk
Kamenets-Podolsk is a historic city in western Ukraine that became the site of one of the earliest and largest mass shootings of Jews during the Holocaust.
-
E.
Svitlovodsk
Svitlovodsk is a city in central Ukraine located on the banks of the Dnieper River, known for its hydroelectric power station and industrial facilities.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a10ab48190a408a5d2c2b0808b |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.