Triple
T13259766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | contemporary United States |
E315755
|
entity |
| Predicate | militaryAllianceRole |
P6756
|
FINISHED |
| Object | leading NATO member |
—
|
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: leading NATO member | Statement: [contemporary United States, militaryAllianceRole, leading NATO member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryAllianceRole Context triple: [contemporary United States, militaryAllianceRole, leading NATO member]
-
A.
allianceRole
chosen
Indicates the specific function, status, or responsibility an entity holds within an alliance or cooperative partnership.
-
B.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
allianceDesignation
Indicates a formal relationship in which one entity designates or classifies another as an ally within an alliance.
-
D.
allianceMember
Indicates that an entity is a member or participant in a specific alliance or coalition.
-
E.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.