Triple
T2497391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG 42 |
E52182
|
entity |
| Predicate | fireMode |
P9011
|
FINISHED |
| Object | fully automatic only |
—
|
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: fully automatic only | Statement: [MG 42, fireMode, fully automatic only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireMode Context triple: [MG 42, fireMode, fully automatic only]
-
A.
fireModes
chosen
Indicates the different ways or settings in which a weapon or device can be fired or operated.
-
B.
fireControlFeature
Indicates a relationship where an entity possesses or is associated with a capability or mechanism for directing, managing, or controlling the use of fire or weapon fire.
-
C.
fireControlSystem
Indicates a relationship where a system monitors, directs, and coordinates the detection, targeting, and firing of weapons or other actuators to control the application of force or energy.
-
D.
rateOfFire
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
E.
fireSupportType
Indicates the specific kind or category of supporting fire (such as artillery, air support, or naval gunfire) being provided in a military context.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ad2f8c81908853e97d75081e84 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.