Triple
T832950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permanent Joint Headquarters |
E18007
|
entity |
| Predicate | hasCommandRole |
P161
|
FINISHED |
| Object | joint operations |
—
|
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: joint operations | Statement: [Permanent Joint Headquarters, hasCommandRole, joint operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommandRole Context triple: [Permanent Joint Headquarters, hasCommandRole, joint operations]
-
A.
hasCommander
Indicates that one entity serves as the commanding officer or leader of another entity.
-
B.
hasCommand
Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
-
C.
commandedBy
Indicates that one entity holds authoritative control or issues orders over another entity.
-
D.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
E.
isCommandedIn
Indicates that an entity is under the authority or control of another entity within a specific context, such as a mission, operation, or organizational structure.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb647988190950e1790bcfa60a5 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.