Triple
T1117890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K9 Thunder |
E11141
|
entity |
| Predicate | burstRateOfFire |
P17731
|
FINISHED |
| Object | 3 rounds in 15 seconds |
—
|
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: 3 rounds in 15 seconds | Statement: [K9 Thunder, burstRateOfFire, 3 rounds in 15 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burstRateOfFire Context triple: [K9 Thunder, burstRateOfFire, 3 rounds in 15 seconds]
-
A.
rateOfFire
chosen
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
B.
numberOfShotsFired
Indicates the total count of shots that were discharged in the described event or action.
-
C.
fireModes
Indicates the different ways or settings in which a weapon or device can be fired or operated.
-
D.
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.
-
E.
spinRate
Indicates the rotational speed at which an object or system is spinning, typically measured as revolutions per unit time.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.