Triple
T6656923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Decisive Storm |
E150968
|
entity |
| Predicate | belligerentSupport |
P72129
|
FINISHED |
| Object | logistical support from United States |
—
|
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: logistical support from United States | Statement: [Operation Decisive Storm, belligerentSupport, logistical support from United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belligerentSupport Context triple: [Operation Decisive Storm, belligerentSupport, logistical support from United States]
-
A.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
B.
coBelligerent
Indicates that two or more parties are engaged in hostilities against a common enemy, typically as allies or coordinated participants in the same conflict.
-
C.
belligerentInterest
Indicates that an entity has a hostile, aggressive, or conflict-seeking attitude or stake toward another entity or situation.
-
D.
conflictBelligerent
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
-
E.
opposedWar
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
- F. None of above. chosen
Provenance (4 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2:01 p.m.