Triple
T32730037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2 Black Panther |
E836923
|
entity |
| Predicate | mainGunLoader |
P83373
|
FINISHED |
| Object | autoloader |
—
|
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: autoloader | Statement: [K2 Black Panther, mainGunLoader, autoloader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGunLoader Context triple: [K2 Black Panther, mainGunLoader, autoloader]
-
A.
mainGunModel
Indicates the specific model or type designation of the primary gun or main weapon system used by an entity.
-
B.
ammunitionLoading
Indicates the action or process of placing ammunition into a weapon or storage system for use.
-
C.
ammunitionFeedSystem
chosen
Indicates a mechanism or process by which ammunition is supplied or delivered to a weapon or firing system.
-
D.
gunner
Indicates a person who operates, fires, or is responsible for a gun or artillery weapon in a combat or defense context.
-
E.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8cbb9248190a13b712c81948822 |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.