Triple
T23719870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CF-104 |
E586109
|
entity |
| Predicate | operatorRoleInCanada |
P153692
|
FINISHED |
| Object | nuclear strike within 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: nuclear strike within NATO | Statement: [CF-104, operatorRoleInCanada, nuclear strike within NATO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorRoleInCanada Context triple: [CF-104, operatorRoleInCanada, nuclear strike within NATO]
-
A.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
-
B.
operatorRoleInKorea
Indicates that an entity serves in an operator role within the context of Korea (e.g., operating or managing a system, service, or activity there).
-
C.
operatorStyleCanada
Indicates a relationship where an operator follows or is associated with a style, standard, or mode of operation specific to Canada.
-
D.
legalStatusCanada
Indicates the legal classification or standing of an entity under Canadian law.
-
E.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
- F. None of above. chosen
Provenance (4 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b77e2dc081908aef7a4c9b188dbd |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7 p.m.