Triple
T106259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Air Force |
E2142
|
entity |
| Predicate | hasNuclearRole |
P4900
|
FINISHED |
| Object | airborne component of French nuclear deterrent |
—
|
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: airborne component of French nuclear deterrent | Statement: [French Air Force, hasNuclearRole, airborne component of French nuclear deterrent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNuclearRole Context triple: [French Air Force, hasNuclearRole, airborne component of French nuclear deterrent]
-
A.
hasNuclearWeapons
Indicates that the subject possesses or controls nuclear weapons.
-
B.
nuclearWeaponsState
Indicates that a state possesses, has developed, or is recognized as having nuclear weapons capabilities.
-
C.
hasPeacekeepingRole
Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
-
D.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
E.
hasNumberOfRecognizedSovereignStates
Indicates the relationship that specifies how many internationally recognized sovereign states are associated with or contained within a given entity.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563d33788190999d471b486d5603 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.