Triple
T15754937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-4K |
E381942
|
entity |
| Predicate | guns |
P6073
|
FINISHED |
| Object | 2× 20 mm Colt Mk 12 cannon |
—
|
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: 2× 20 mm Colt Mk 12 cannon | Statement: [A-4K, guns, 2× 20 mm Colt Mk 12 cannon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guns Context triple: [A-4K, guns, 2× 20 mm Colt Mk 12 cannon]
-
A.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
B.
lightArmament
Indicates that an entity is equipped with or characterized by relatively minimal or lightweight weaponry compared to standard or heavy armament.
-
C.
gunType
chosen
Indicates the specific category or kind of gun associated with an entity.
-
D.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
E.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.