Triple
T3112152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 99 rifle |
E64975
|
entity |
| Predicate | muzzleDevice |
P37995
|
FINISHED |
| Object | bayonet lug |
—
|
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: bayonet lug | Statement: [Type 99 rifle, muzzleDevice, bayonet lug]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muzzleDevice Context triple: [Type 99 rifle, muzzleDevice, bayonet lug]
-
A.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
-
B.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
-
C.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
D.
bayonetMount
chosen
Indicates that one object is equipped with or designed to accept a bayonet-style mounting connection to another object.
-
E.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43b0b3c8190a828c9cfcf730ed9 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.