Triple
T4403779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1025 |
E93676
|
entity |
| Predicate | typicalArmamentOption |
P7745
|
FINISHED |
| Object | .50 caliber machine gun |
—
|
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: .50 caliber machine gun | Statement: [M1025, typicalArmamentOption, .50 caliber machine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalArmamentOption Context triple: [M1025, typicalArmamentOption, .50 caliber machine gun]
-
A.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
B.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
C.
secondaryArmament
Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
-
D.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
-
E.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.