Triple
T10042127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation IRINI |
E205319
|
entity |
| Predicate | hasForceCommander |
P1197
|
FINISHED |
| Object | rotating among contributing member 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: rotating among contributing member states | Statement: [Operation IRINI, hasForceCommander, rotating among contributing member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasForceCommander Context triple: [Operation IRINI, hasForceCommander, rotating among contributing member states]
-
A.
hasCommander
chosen
Indicates that one entity serves as the commanding officer or leader of another entity.
-
B.
commandedForcesOf
Indicates that one entity held command authority over the military or armed forces associated with another entity.
-
C.
hasForceCarrier
Indicates that a fundamental interaction or force is mediated or carried by a specific particle or field.
-
D.
usesForces
Indicates that one entity applies physical, magical, or other types of forces to influence, move, or affect another entity.
-
E.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee48d8c8190af7c93b60f8ca7cb |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:55 p.m.