Triple
T2312595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karabiner 98k |
E51991
|
entity |
| Predicate | effectiveFiringRange |
P25150
|
FINISHED |
| Object | 500 m with iron sights |
—
|
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: 500 m with iron sights | Statement: [Karabiner 98k, effectiveFiringRange, 500 m with iron sights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectiveFiringRange Context triple: [Karabiner 98k, effectiveFiringRange, 500 m with iron sights]
-
A.
rateOfFire
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
B.
gunElevationRange
Indicates the range of vertical angles through which a gun can be elevated or depressed relative to a reference plane.
-
C.
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.
-
D.
operationalRange
chosen
Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
-
E.
frontArmorRange
Indicates the range or extent of protective armor coverage on the front-facing side of an entity.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.