Triple
T7713611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-6 (photo-reconnaissance variants) |
E174825
|
entity |
| Predicate | armamentStatus |
P78286
|
FINISHED |
| Object | often retained fighter armament |
—
|
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: often retained fighter armament | Statement: [F-6 (photo-reconnaissance variants), armamentStatus, often retained fighter armament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armamentStatus Context triple: [F-6 (photo-reconnaissance variants), armamentStatus, often retained fighter armament]
-
A.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
-
B.
armsTrade
Indicates the buying, selling, or exchange of weapons or military equipment between parties.
-
C.
nuclearArsenalStatus
Indicates the condition or level of development, deployment, or readiness of an entity’s nuclear weapons capability.
-
D.
armamentWartime
Indicates a relationship where an entity serves as a weapon or military equipment used by another entity specifically in a wartime context.
-
E.
plannedArmament
Indicates that an entity has a specific weapon or set of weapons intended or scheduled to be equipped or deployed in the future.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:04 p.m.