Triple
T8354652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中部地方 |
E196653
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
奥穂高岳
奥穂高岳は、日本アルプスの一部である北アルプスに位置する日本第三位の高峰で、登山やアルピニズムの名山として知られる山である。
|
E727574
|
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: 奥穂高岳 | Statement: [中部地方, hasPeak, 奥穂高岳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 奥穂高岳 Context triple: [中部地方, hasPeak, 奥穂高岳]
-
A.
Katayama Tōkuma
Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
-
B.
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
-
C.
Rokkō Airando
Rokkō Airando is a man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure.
-
D.
Hyakutake Yuji
Hyakutake Yuji is a Japanese amateur astronomer best known for discovering Comet Hyakutake, one of the brightest and most widely observed comets of the 20th century.
-
E.
Nagano Uheiji
Nagano Uheiji was a Japanese architect known for designing prominent governmental buildings, including Taiwan’s Presidential Office Building during the period of Japanese rule.
- 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: 奥穂高岳 Triple: [中部地方, hasPeak, 奥穂高岳]
Generated description
奥穂高岳は、日本アルプスの一部である北アルプスに位置する日本第三位の高峰で、登山やアルピニズムの名山として知られる山である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 奥穂高岳 Target entity description: 奥穂高岳は、日本アルプスの一部である北アルプスに位置する日本第三位の高峰で、登山やアルピニズムの名山として知られる山である。
-
A.
Katayama Tōkuma
Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
-
B.
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
-
C.
Rokkō Airando
Rokkō Airando is a man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure.
-
D.
Hyakutake Yuji
Hyakutake Yuji is a Japanese amateur astronomer best known for discovering Comet Hyakutake, one of the brightest and most widely observed comets of the 20th century.
-
E.
Nagano Uheiji
Nagano Uheiji was a Japanese architect known for designing prominent governmental buildings, including Taiwan’s Presidential Office Building during the period of Japanese rule.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75e94288190ba1905dd4ca172dd |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc86626c8190a4206feedea24b41 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcde02e088190be8220f7d18d6700 |
completed | April 2, 2026, 2:01 a.m. |
Created at: March 30, 2026, 5:59 p.m.