Triple
T802295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Akagi |
E17154
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Ōnuma
Lake Ōnuma is a volcanic crater lake situated on Mount Akagi in Gunma Prefecture, Japan, known for its scenic beauty and outdoor recreation.
|
E97478
|
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: Lake Ōnuma | Statement: [Mount Akagi, hasLake, Lake Ōnuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Ōnuma Context triple: [Mount Akagi, hasLake, Lake Ōnuma]
-
A.
Shiga Lakes
Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
B.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
C.
Lake Kegonsa
Lake Kegonsa is a glacial freshwater lake in south-central Wisconsin that is popular for boating, fishing, and its surrounding state park.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Osaka Bay
Osaka Bay is a shallow, industrially important inlet of the Seto Inland Sea in Japan, bordered by major cities like Osaka and Kobe and serving as a key hub for shipping and coastal development.
- 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: Lake Ōnuma Triple: [Mount Akagi, hasLake, Lake Ōnuma]
Generated description
Lake Ōnuma is a volcanic crater lake situated on Mount Akagi in Gunma Prefecture, Japan, known for its scenic beauty and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Ōnuma Target entity description: Lake Ōnuma is a volcanic crater lake situated on Mount Akagi in Gunma Prefecture, Japan, known for its scenic beauty and outdoor recreation.
-
A.
Shiga Lakes
Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
B.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
C.
Lake Kegonsa
Lake Kegonsa is a glacial freshwater lake in south-central Wisconsin that is popular for boating, fishing, and its surrounding state park.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Osaka Bay
Osaka Bay is a shallow, industrially important inlet of the Seto Inland Sea in Japan, bordered by major cities like Osaka and Kobe and serving as a key hub for shipping and coastal development.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9e0f0081909d2a89387d6c08e1 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d818e208190a8f3b165c0770e09 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a7810893c081909b1085101eb2a444 |
completed | March 4, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7825bb0948190a5b4d3454c0d449c |
completed | March 4, 2026, 12:52 a.m. |
Created at: March 1, 2026, 7:38 p.m.