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.