Triple
T1470547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Dynamics |
E27124
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
Arleigh Burke-class destroyer sections
Arleigh Burke-class destroyer sections are major structural and systems modules of the U.S. Navy’s Arleigh Burke-class guided-missile destroyers, built by defense contractors such as General Dynamics for assembly into the completed warships.
|
E167766
|
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: Arleigh Burke-class destroyer sections | Statement: [General Dynamics, notableProduct, Arleigh Burke-class destroyer sections]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arleigh Burke-class destroyer sections Context triple: [General Dynamics, notableProduct, Arleigh Burke-class destroyer sections]
-
A.
Sims-class destroyers
Sims-class destroyers were a group of U.S. Navy warships built just before World War II that featured improved machinery and armament over earlier destroyer classes and saw extensive wartime service.
-
B.
Benson-class destroyer
The Benson-class destroyer was a World War II–era class of U.S. Navy destroyers known for their improved anti-aircraft armament, speed, and versatility in escort and fleet operations.
-
C.
Hancock-class frigate
The Hancock-class frigate was a class of late 18th-century sailing warships of the Continental Navy, designed as relatively large, fast, and heavily armed frigates for use during the American Revolutionary War.
-
D.
Yorktown class
The Yorktown class was a group of U.S. Navy aircraft carriers built in the late 1930s that played a pivotal role in early World War II Pacific naval battles.
-
E.
K-class destroyer
The K-class destroyer was a group of Royal Navy warships built in the late 1930s, designed for high-speed fleet escort and anti-submarine duties during World War II.
- 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: Arleigh Burke-class destroyer sections Triple: [General Dynamics, notableProduct, Arleigh Burke-class destroyer sections]
Generated description
Arleigh Burke-class destroyer sections are major structural and systems modules of the U.S. Navy’s Arleigh Burke-class guided-missile destroyers, built by defense contractors such as General Dynamics for assembly into the completed warships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arleigh Burke-class destroyer sections Target entity description: Arleigh Burke-class destroyer sections are major structural and systems modules of the U.S. Navy’s Arleigh Burke-class guided-missile destroyers, built by defense contractors such as General Dynamics for assembly into the completed warships.
-
A.
Sims-class destroyers
Sims-class destroyers were a group of U.S. Navy warships built just before World War II that featured improved machinery and armament over earlier destroyer classes and saw extensive wartime service.
-
B.
Benson-class destroyer
The Benson-class destroyer was a World War II–era class of U.S. Navy destroyers known for their improved anti-aircraft armament, speed, and versatility in escort and fleet operations.
-
C.
Hancock-class frigate
The Hancock-class frigate was a class of late 18th-century sailing warships of the Continental Navy, designed as relatively large, fast, and heavily armed frigates for use during the American Revolutionary War.
-
D.
Yorktown class
The Yorktown class was a group of U.S. Navy aircraft carriers built in the late 1930s that played a pivotal role in early World War II Pacific naval battles.
-
E.
K-class destroyer
The K-class destroyer was a group of Royal Navy warships built in the late 1930s, designed for high-speed fleet escort and anti-submarine duties during World War II.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d9dd4c8190ba840a9255cd1293 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e8154288190b621980ea08ab81a |
completed | March 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69ad0ee93c4c8190bd705e31d9492158 |
completed | March 8, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0fb331e881908455844135bb3208 |
completed | March 8, 2026, 5:57 a.m. |
Created at: March 1, 2026, 8:01 p.m.