Triple
T36836003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erma Werke |
E910272
|
entity |
| Predicate | producedWeaponType |
P27030
|
FINISHED |
| Object | submachine gun |
—
|
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: submachine gun | Statement: [Erma Werke, producedWeaponType, submachine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedWeaponType Context triple: [Erma Werke, producedWeaponType, submachine gun]
-
A.
typeOfWeaponsProduced
chosen
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
-
B.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
C.
weaponTypeDelivered
Indicates that a specific type of weapon has been delivered from one entity to another.
-
D.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
E.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 3, 2026, 4:13 p.m.