Triple

T4244799
Position Surface form Disambiguated ID Type / Status
Subject 赤城山 E95502 entity
Predicate hasLake P1025 FINISHED
Object 覚満淵
覚満淵 is a small marshy pond and scenic wetland area on Mount Akagi in Gunma Prefecture, known for its seasonal flora, birdwatching, and easy walking trails.
E424930 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: 覚満淵 | Statement: [赤城山, hasLake, 覚満淵]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 覚満淵
Context triple: [赤城山, hasLake, 覚満淵]
  • A. Shinshukyo
    Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
  • B. Okutama
    Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
  • C. Daigo no misasagi
    Daigo no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Daigo.
  • D. Gonnohyōe
    Gonnohyōe is a Japanese given name most famously borne by Admiral Yamamoto Gonnohyōe, a prominent naval officer and politician of the Meiji and Taishō eras.
  • E. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • 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: 覚満淵
Triple: [赤城山, hasLake, 覚満淵]
Generated description
覚満淵 is a small marshy pond and scenic wetland area on Mount Akagi in Gunma Prefecture, known for its seasonal flora, birdwatching, and easy walking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 覚満淵
Target entity description: 覚満淵 is a small marshy pond and scenic wetland area on Mount Akagi in Gunma Prefecture, known for its seasonal flora, birdwatching, and easy walking trails.
  • A. Shinshukyo
    Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
  • B. Okutama
    Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
  • C. Daigo no misasagi
    Daigo no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Daigo.
  • D. Gonnohyōe
    Gonnohyōe is a Japanese given name most famously borne by Admiral Yamamoto Gonnohyōe, a prominent naval officer and politician of the Meiji and Taishō eras.
  • E. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • 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.