Triple
T5329758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izumo-class helicopter destroyer |
E123275
|
entity |
| Predicate | hasShip |
P14595
|
FINISHED |
| Object |
JS Kaga
JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
|
E512620
|
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: JS Kaga | Statement: [Izumo-class helicopter destroyer, hasShip, JS Kaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JS Kaga Context triple: [Izumo-class helicopter destroyer, hasShip, JS Kaga]
-
A.
KAG
KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
-
B.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
C.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Kitashinchi
Kitashinchi is a bustling entertainment and nightlife district in Osaka, Japan, known for its upscale bars, restaurants, and clubs.
- 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: JS Kaga Triple: [Izumo-class helicopter destroyer, hasShip, JS Kaga]
Generated description
JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JS Kaga Target entity description: JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
-
A.
KAG
KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
-
B.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
C.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Kitashinchi
Kitashinchi is a bustling entertainment and nightlife district in Osaka, Japan, known for its upscale bars, restaurants, and clubs.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd859552d8819080758bdd7c43c66a |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18b396c08190be60bcb9ac933b5e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1b23cdbc8190bec3b7bc7f70770c |
completed | March 21, 2026, 10:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1ba465948190aac6bfc406bae806 |
completed | March 21, 2026, 10:28 p.m. |
Created at: March 20, 2026, 2 p.m.