Triple

T13206910
Position Surface form Disambiguated ID Type / Status
Subject Mogami River E314387 entity
Predicate hasJapaneseName P9882 FINISHED
Object 最上川
最上川は、山形県を中心に流れ日本三大急流の一つとして知られる東北地方の代表的な大河川です。
E1026778 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: 最上川 | Statement: [Mogami River, hasJapaneseName, 最上川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 最上川
Context triple: [Mogami River, hasJapaneseName, 最上川]
  • A. 富士川
    富士川は、山梨県と静岡県を流れ駿河湾に注ぐ、日本有数の急流として知られる大河川である。
  • B. 宇治川
    宇治川は京都府南部を流れ、歴史的な合戦や宇治茶の産地として知られる日本の河川である。
  • C. 野洲川
    野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
  • D. 木曽川
    木曽川 is a major river in central Japan that flows through the Kiso Valley and is known for its scenic beauty and historical importance as part of the Nōbi Plain river system.
  • E. 阿賀野川
    阿賀野川は福島県から新潟県へと流れ日本海に注ぐ、日本有数の流域面積と水力発電・灌漑機能を持つ大河川である。
  • 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: 最上川
Triple: [Mogami River, hasJapaneseName, 最上川]
Generated description
最上川は、山形県を中心に流れ日本三大急流の一つとして知られる東北地方の代表的な大河川です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 最上川
Target entity description: 最上川は、山形県を中心に流れ日本三大急流の一つとして知られる東北地方の代表的な大河川です。
  • A. 富士川
    富士川は、山梨県と静岡県を流れ駿河湾に注ぐ、日本有数の急流として知られる大河川である。
  • B. 宇治川
    宇治川は京都府南部を流れ、歴史的な合戦や宇治茶の産地として知られる日本の河川である。
  • C. 野洲川
    野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
  • D. 木曽川
    木曽川 is a major river in central Japan that flows through the Kiso Valley and is known for its scenic beauty and historical importance as part of the Nōbi Plain river system.
  • E. 阿賀野川
    阿賀野川は福島県から新潟県へと流れ日本海に注ぐ、日本有数の流域面積と水力発電・灌漑機能を持つ大河川である。
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f60eee288190bdb3ed6110394e48 completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f76ade3c8190b46655f104a1ceaa completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f8530a048190b448c50bfa52c057 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:17 p.m.