Triple
T1848931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HK416F |
E41347
|
entity |
| Predicate | barrelLengthVariant |
P24440
|
FINISHED |
| Object | short barrel for close-quarters use |
—
|
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: short barrel for close-quarters use | Statement: [HK416F, barrelLengthVariant, short barrel for close-quarters use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelLengthVariant Context triple: [HK416F, barrelLengthVariant, short barrel for close-quarters use]
-
A.
hasBarrelConfiguration
chosen
Indicates a relationship where an object is characterized by or assigned a specific arrangement or configuration of its barrel or barrels.
-
B.
hasLowerBarLength
Indicates that one entity’s bar length is shorter than the bar length of another entity.
-
C.
hasUpperBarLength
Indicates that an entity possesses an upper bar whose length is specified or constrained by the related value or object.
-
D.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
E.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.