Triple
T4313631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold War liberalism |
E94135
|
entity |
| Predicate | hasStanceOnForeignPolicy |
P23116
|
FINISHED |
| Object | pro-NATO |
—
|
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: pro-NATO | Statement: [Cold War liberalism, hasStanceOnForeignPolicy, pro-NATO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStanceOnForeignPolicy Context triple: [Cold War liberalism, hasStanceOnForeignPolicy, pro-NATO]
-
A.
positionOnForeignPolicy
chosen
Indicates a stance or viewpoint an entity holds regarding international relations, diplomacy, and global political issues.
-
B.
foreignPolicyArea
Indicates the specific domain or topic within foreign policy to which an action, decision, or statement is related.
-
C.
diplomaticPolicy
Indicates the stance, strategy, or set of guiding principles an entity adopts in managing its diplomatic relations and interactions with others.
-
D.
foreignPolicyContext
Indicates the broader international relations setting or circumstances within which a foreign policy decision, action, or stance occurs.
-
E.
foreignPolicyProgram
Indicates a program or initiative that defines, guides, or implements a state's foreign policy toward other international actors.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.