Triple
T20296925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piranha III |
E505374
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | MOWAG |
—
|
NE NERFINISHED |
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: MOWAG | Statement: [Piranha III, manufacturer, MOWAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOWAG Context triple: [Piranha III, manufacturer, MOWAG]
-
A.
MOWAG
chosen
MOWAG is a Swiss defense vehicle manufacturer best known for designing and producing the Piranha family of wheeled armored combat vehicles.
-
B.
Rheinmetall
Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
-
C.
Krauss-Maffei Wegmann
Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
-
D.
Diehl BGT Defence
Diehl BGT Defence is a German defense company specializing in advanced guided missile and air defense systems.
-
E.
Denel Land Systems
Denel Land Systems is a South African defense company specializing in the design and production of artillery, armored vehicles, and other land warfare systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677095fb481909806214da4002b59 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:15 a.m.