Triple
T8790058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G36 assault rifle |
E209139
|
entity |
| Predicate | isModularWeapon |
P47195
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [G36 assault rifle, isModularWeapon, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isModularWeapon Context triple: [G36 assault rifle, isModularWeapon, true]
-
A.
isModular
Indicates that something is composed of distinct, interchangeable parts or units that can be independently created, modified, or replaced within a larger whole.
-
B.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
C.
weaponFeature
Indicates that one entity is a characteristic, attribute, or functional aspect of a weapon.
-
D.
armamentFlexible
chosen
Indicates that an entity’s armament or weapon configuration can be adjusted, reconfigured, or adapted to different setups or roles.
-
E.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:43 p.m.