Triple
T2744456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山下 奉文 |
E60832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
山下
山下 is a Japanese surname borne by various notable figures in politics, arts, sports, and the military.
|
E294589
|
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: 山下 | Statement: [山下 奉文, familyName, 山下]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 山下 Context triple: [山下 奉文, familyName, 山下]
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
B.
摺鉢山
摺鉢山 is the Japanese name for Mount Suribachi, the small volcanic peak on Iwo Jima famous as the site of a pivotal World War II battle and the iconic flag-raising photograph.
-
C.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
-
D.
赤城山
赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
-
E.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
- 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: 山下 Triple: [山下 奉文, familyName, 山下]
Generated description
山下 is a Japanese surname borne by various notable figures in politics, arts, sports, and the military.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 山下 Target entity description: 山下 is a Japanese surname borne by various notable figures in politics, arts, sports, and the military.
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
B.
摺鉢山
摺鉢山 is the Japanese name for Mount Suribachi, the small volcanic peak on Iwo Jima famous as the site of a pivotal World War II battle and the iconic flag-raising photograph.
-
C.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
-
D.
赤城山
赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
-
E.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb32ef74819096ae399d16d4f31d |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcebe788190aa2b40158b64b7b2 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbceb981c819095038ac01d98fb45 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd5e28f481909d82e42c33e4ef86 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:56 p.m.