Triple
T11462427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großfuß AG |
E271693
|
entity |
| Predicate | MG 42Production |
P99701
|
FINISHED |
| Object | original manufacturer |
—
|
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: original manufacturer | Statement: [Großfuß AG, MG 42Production, original manufacturer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MG 42Production Context triple: [Großfuß AG, MG 42Production, original manufacturer]
-
A.
Berdan No.1 rifle
Indicates that an entity is a Berdan No.1 rifle, i.e., it has the identity or classification of that specific rifle model.
-
B.
Me 262Distinction
Indicates a distinguishing feature, status, or notable characteristic associated with the Me 262.
-
C.
lightArmament
Indicates that an entity is equipped with or characterized by relatively minimal or lightweight weaponry compared to standard or heavy armament.
-
D.
SM.79Era
Indicates that something is associated with the SM.79 aircraft specifically in its "Era" (time period or version) context.
-
E.
isMilitaryVariantOf
Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.