Triple
T32730125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariete (licensed derivative) |
E836925
|
entity |
| Predicate | gunProduction |
P174849
|
FINISHED |
| Object | domestically produced version of Rheinmetall 120 mm smoothbore 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: domestically produced version of Rheinmetall 120 mm smoothbore gun | Statement: [Ariete (licensed derivative), gunProduction, domestically produced version of Rheinmetall 120 mm smoothbore gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunProduction Context triple: [Ariete (licensed derivative), gunProduction, domestically produced version of Rheinmetall 120 mm smoothbore gun]
-
A.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
B.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
C.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
D.
weaponDepicted
Indicates that a weapon is visually represented or shown in association with an entity.
-
E.
firearmActionType
Indicates the specific type or category of action performed with or by a firearm (such as firing, loading, carrying, or modifying).
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8cbb9248190a13b712c81948822 |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:11 a.m.