Triple
T11462419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großfuß AG |
E271693
|
entity |
| Predicate | weaponTypeSpecialization |
P16410
|
FINISHED |
| Object | machine guns |
—
|
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: machine guns | Statement: [Großfuß AG, weaponTypeSpecialization, machine guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponTypeSpecialization Context triple: [Großfuß AG, weaponTypeSpecialization, machine guns]
-
A.
unitSpecialization
Indicates that one unit is a specialized or more specific version of another unit within a hierarchical or categorical relationship.
-
B.
weaponDiscipline
Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
-
C.
weaponCategory
chosen
Indicates the classification or type of weapon to which an item or armament belongs.
-
D.
weaponFeature
Indicates that one entity is a characteristic, attribute, or functional aspect of a weapon.
-
E.
weaponSystemType
Indicates the specific category or kind of weapon system associated with 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.