Triple
T4398802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet 3rd Ukrainian Front |
E99560
|
entity |
| Predicate | commandStructure |
P396
|
FINISHED |
| Object | Stavka |
E50411
|
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: Stavka | Statement: [Soviet 3rd Ukrainian Front, commandStructure, Stavka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stavka Context triple: [Soviet 3rd Ukrainian Front, commandStructure, Stavka]
-
A.
Stavka
chosen
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
B.
Stachka
Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
-
C.
Nagode
"Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352cc4ab081908bc45d2f76cd4da8 |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e53d34cc81909969d86efc441dee |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:20 p.m.