Triple
T6210806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese heavy cruiser Atago |
E138862
|
entity |
| Predicate | sisterShip |
P3142
|
FINISHED |
| Object |
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
|
E586051
|
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: Chōkai | Statement: [Japanese heavy cruiser Atago, sisterShip, Chōkai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chōkai Context triple: [Japanese heavy cruiser Atago, sisterShip, Chōkai]
-
A.
Chō Tsuratatsu
Chō Tsuratatsu was a samurai of Japan’s Sengoku period who served the Uesugi clan and was known as a retainer and military commander.
-
B.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
-
C.
Tokiwa Gozen
Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
-
D.
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
-
E.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
- 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: Chōkai Triple: [Japanese heavy cruiser Atago, sisterShip, Chōkai]
Generated description
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chōkai Target entity description: Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
A.
Chō Tsuratatsu
Chō Tsuratatsu was a samurai of Japan’s Sengoku period who served the Uesugi clan and was known as a retainer and military commander.
-
B.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
-
C.
Tokiwa Gozen
Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
-
D.
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
-
E.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603e5b3d48190b156be02008a8c12 |
completed | March 27, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_69c604e6b9048190acc87e0029973d60 |
completed | March 27, 2026, 4:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605c0db308190960370a81ff8123b |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:21 p.m.