Triple
T4319400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT40 cased telescoped weapon system |
E96474
|
entity |
| Predicate | ammunitionStored |
P6074
|
FINISHED |
| Object | telescoped 40 mm rounds |
—
|
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: telescoped 40 mm rounds | Statement: [CT40 cased telescoped weapon system, ammunitionStored, telescoped 40 mm rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ammunitionStored Context triple: [CT40 cased telescoped weapon system, ammunitionStored, telescoped 40 mm rounds]
-
A.
ammunitionCapacity
Indicates the maximum amount of ammunition that something (typically a weapon or container) is designed to hold at one time.
-
B.
ammunitionType
chosen
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
C.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
-
D.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
E.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35112ec008190958487f501481887 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.