Triple

T4244797
Position Surface form Disambiguated ID Type / Status
Subject 赤城山 E95502 entity
Predicate hasLake P1025 FINISHED
Object 大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
 E424929 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: 大沼 | Statement: [赤城山, hasLake, 大沼]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大沼
Context triple: [赤城山, hasLake, 大沼]
  • A. Lushui Lake
    Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
  • B. Beixiu Lake
    Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
  • C. Shiga Lakes
    Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
  • D. Liuye Lake
    Liuye Lake is a scenic freshwater lake and popular leisure destination in Changde, Hunan Province, known for its natural beauty and recreational activities.
  • E. Oguta Lake
    Oguta Lake is a scenic natural freshwater lake in southeastern Nigeria known for its recreational activities, cultural significance, and picturesque surroundings.
  • 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: 大沼
Triple: [赤城山, hasLake, 大沼]
Generated description
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 大沼
Target entity description: 大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
  • A. Lushui Lake
    Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
  • B. Beixiu Lake
    Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
  • C. Shiga Lakes
    Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
  • D. Liuye Lake
    Liuye Lake is a scenic freshwater lake and popular leisure destination in Changde, Hunan Province, known for its natural beauty and recreational activities.
  • E. Oguta Lake
    Oguta Lake is a scenic natural freshwater lake in southeastern Nigeria known for its recreational activities, cultural significance, and picturesque surroundings.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8c42e88190b309a1ef7f6529ac completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a876a8dc8190b79d7a3d5eec5609 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a925b8e881908338dc0620b18734 completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5ad224c848190b1ce76d61fc1d564 completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:05 p.m.