Triple
T314065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopard 2 |
E7668
|
entity |
| Predicate | transmission |
P4163
|
FINISHED |
| Object |
Renk HSWL 354
The Renk HSWL 354 is a German-made automatic transmission system specifically designed for heavy tracked vehicles such as the Leopard 2 main battle tank.
|
E40719
|
NE FINISHED |
How this triple was built (4 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: Renk HSWL 354 | Statement: [Leopard 2, transmission, Renk HSWL 354]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renk HSWL 354 Context triple: [Leopard 2, transmission, Renk HSWL 354]
-
A.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
B.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
C.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
D.
W-3 Sokół
The W-3 Sokół is a Polish multi-purpose medium helicopter widely used for transport, search and rescue, and military operations.
-
E.
HARV
HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Renk HSWL 354 Triple: [Leopard 2, transmission, Renk HSWL 354]
Generated description
The Renk HSWL 354 is a German-made automatic transmission system specifically designed for heavy tracked vehicles such as the Leopard 2 main battle tank.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Renk HSWL 354 Target entity description: The Renk HSWL 354 is a German-made automatic transmission system specifically designed for heavy tracked vehicles such as the Leopard 2 main battle tank.
-
A.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
B.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
C.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
D.
W-3 Sokół
The W-3 Sokół is a Polish multi-purpose medium helicopter widely used for transport, search and rescue, and military operations.
-
E.
HARV
HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
- F. None of above. chosen
Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4bd6a081909bdb57602c7093b4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c41a499081909b5aa82432daf96d |
completed | March 1, 2026, 4:44 a.m. |
| NEDg | Description generation | batch_69a3c66fb86c8190bb21f860ecb514d8 |
completed | March 1, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c6ef06b081909d41c461b8ad3d56 |
completed | March 1, 2026, 4:56 a.m. |
Created at: Feb. 28, 2026, 1:07 p.m.