Triple
T3829073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-72M1 |
E88763
|
entity |
| Predicate | hasSecondaryArmament |
P6067
|
FINISHED |
| Object | 7.62 mm coaxial 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: 7.62 mm coaxial machine gun | Statement: [T-72M1, hasSecondaryArmament, 7.62 mm coaxial machine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryArmament Context triple: [T-72M1, hasSecondaryArmament, 7.62 mm coaxial machine gun]
-
A.
secondaryArmament
chosen
Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
-
B.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
C.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
D.
hasArmedWing
Indicates that an entity maintains, controls, or is associated with an organized armed or military wing.
-
E.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.