Triple
T1894187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamagata Aritomo |
E41939
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 山縣有朋 |
E41939
|
NE FINISHED |
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: 山縣有朋 | Statement: [Yamagata Aritomo, nativeName, 山縣有朋]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 山縣有朋 Context triple: [Yamagata Aritomo, nativeName, 山縣有朋]
-
A.
淵田 美津雄
淵田 美津雄 was a Japanese naval aviator best known for leading the air attack on Pearl Harbor during World War II and later becoming a Christian evangelist.
-
B.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
-
C.
Hisaichi Terauchi
Hisaichi Terauchi was a senior Imperial Japanese Army general who commanded Japanese forces in Southeast Asia during World War II.
-
D.
Yamagata Aritomo
chosen
Yamagata Aritomo was a prominent Meiji-era Japanese military leader and statesman who helped modernize Japan’s army and twice served as Prime Minister.
-
E.
Terauchi Masatake
Terauchi Masatake was a Japanese military officer and statesman who served as the first Governor-General of Korea and later as Prime Minister of Japan during the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae9e1f4819082afdd3b8e065c01 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.