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.