Triple
T5189597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malyi Saturn |
E117117
|
entity |
| Predicate | typeOfEncirclement |
P10171
|
FINISHED |
| Object | operational-level encirclement offensive |
—
|
LITERAL 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: operational-level encirclement offensive | Statement: [Malyi Saturn, typeOfEncirclement, operational-level encirclement offensive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEncirclement Context triple: [Malyi Saturn, typeOfEncirclement, operational-level encirclement offensive]
-
A.
encirclementOperation
chosen
Indicates a military action in which forces maneuver to surround an opposing force, cutting off its escape routes and lines of support.
-
B.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
C.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
D.
surroundedCity
Indicates that one city is encircled or completely enclosed by another city or its surrounding territory.
-
E.
partlyEncircles
Indicates that one entity surrounds another along a substantial but incomplete portion of its boundary or perimeter.
- F. None of above.
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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.