Triple
T29696865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Planning and Conduct Capability |
E751374
|
entity |
| Predicate | typeOfMissionCommanded |
P22637
|
FINISHED |
| Object | EU training missions |
—
|
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: EU training missions | Statement: [Military Planning and Conduct Capability, typeOfMissionCommanded, EU training missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMissionCommanded Context triple: [Military Planning and Conduct Capability, typeOfMissionCommanded, EU training missions]
-
A.
typeOfMission
chosen
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
B.
commandedMission
Indicates that one entity served as the commanding leader or officer in charge of a particular mission carried out by another entity.
-
C.
partOfMissionType
Indicates that one entity represents a specific mission type of which the other entity is a constituent or component part.
-
D.
overseesMissionType
Indicates that one entity has responsibility for supervising or managing a particular type or category of mission carried out by another entity.
-
E.
typeOfMissionSupport
Indicates the kind or category of support provided in relation to a specific mission.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: April 28, 2026, 7:20 p.m.