Triple
T22635075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Armed Forces leadership |
E558657
|
entity |
| Predicate | decisionMakingType |
P86813
|
FINISHED |
| Object | civilian–military shared decision-making |
—
|
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: civilian–military shared decision-making | Statement: [United States Armed Forces leadership, decisionMakingType, civilian–military shared decision-making]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionMakingType Context triple: [United States Armed Forces leadership, decisionMakingType, civilian–military shared decision-making]
-
A.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
decisionMakerType
Indicates the role or category of entity responsible for making a particular decision.
-
C.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
D.
decisionMakingModel
chosen
Indicates a relationship where an entity uses or is associated with a specific model or framework for making decisions.
-
E.
decisionMakingRule
Indicates the principle, guideline, or procedure that governs how a decision is made in a given 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:03 p.m.