Triple
T22694392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold War in Norway |
E561132
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stay‑behind networks in Norway |
—
|
NE NERFINISHED |
How this triple was built (3 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: Stay‑behind networks in Norway | Statement: [Cold War in Norway, hasPart, Stay‑behind networks in Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay‑behind networks in Norway Context triple: [Cold War in Norway, hasPart, Stay‑behind networks in Norway]
-
A.
NATO cyber liaison officers and cells
NATO cyber liaison officers and cells are specialized units and personnel that coordinate and support cyber defense activities between NATO’s central cyber structures and member states or partner organizations.
-
B.
NATO cyber structures
NATO cyber structures are the alliance’s integrated organizations, capabilities, and command arrangements dedicated to coordinating, defending, and conducting operations in cyberspace across member states.
-
C.
NATO cyber lessons‑learned processes
NATO cyber lessons‑learned processes are systematic mechanisms for collecting, analyzing, and integrating insights from cyber operations and exercises to improve the Alliance’s future cyber defense capabilities and policies.
-
D.
Network Security: Private Communication in a Public World
"Network Security: Private Communication in a Public World" is a widely used technical book that explains the principles, protocols, and practical mechanisms for securing digital communications over insecure networks.
-
E.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stay‑behind networks in Norway Target entity description: Stay-behind networks in Norway were clandestine paramilitary and intelligence structures established during the Cold War to organize resistance and gather information in the event of a Soviet invasion or occupation.
-
A.
NATO cyber liaison officers and cells
NATO cyber liaison officers and cells are specialized units and personnel that coordinate and support cyber defense activities between NATO’s central cyber structures and member states or partner organizations.
-
B.
NATO cyber structures
NATO cyber structures are the alliance’s integrated organizations, capabilities, and command arrangements dedicated to coordinating, defending, and conducting operations in cyberspace across member states.
-
C.
NATO cyber lessons‑learned processes
NATO cyber lessons‑learned processes are systematic mechanisms for collecting, analyzing, and integrating insights from cyber operations and exercises to improve the Alliance’s future cyber defense capabilities and policies.
-
D.
Network Security: Private Communication in a Public World
"Network Security: Private Communication in a Public World" is a widely used technical book that explains the principles, protocols, and practical mechanisms for securing digital communications over insecure networks.
-
E.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
- F. None of above. chosen
Provenance (2 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789d46c881908176bc8e26f366f6 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.