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.