Triple

T13633341
Position Surface form Disambiguated ID Type / Status
Subject Meguro River E325780 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 目黒川
目黒川は東京都内を流れ、特に春の桜並木で知られる都市河川です。
E975371 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: 目黒川 | Statement: [Meguro River, hasNameInJapanese, 目黒川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 目黒川
Context triple: [Meguro River, hasNameInJapanese, 目黒川]
  • A. Shibuya River
    The Shibuya River is a small urban waterway in Tokyo that runs largely underground through the Shibuya district before joining the Meguro River.
  • B. Dotonbori Canal
    Dotonbori Canal is a famous waterway in Osaka, Japan, known for its vibrant nightlife, neon billboards, and role as a major entertainment and tourist district.
  • C. Kitashinagawa
    Kitashinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its traditional shopping streets, historic temples, and proximity to Shinagawa Station.
  • D. Sumida River
    The Sumida River is a historically significant river flowing through central Tokyo, known for its scenic bridges, cherry blossoms, and cultural prominence in Japanese art and literature.
  • E. Sumida
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • 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: 目黒川
Triple: [Meguro River, hasNameInJapanese, 目黒川]
Generated description
目黒川は東京都内を流れ、特に春の桜並木で知られる都市河川です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 目黒川
Target entity description: 目黒川は東京都内を流れ、特に春の桜並木で知られる都市河川です。
  • A. Shibuya River chosen
    The Shibuya River is a small urban waterway in Tokyo that runs largely underground through the Shibuya district before joining the Meguro River.
  • B. Dotonbori Canal
    Dotonbori Canal is a famous waterway in Osaka, Japan, known for its vibrant nightlife, neon billboards, and role as a major entertainment and tourist district.
  • C. Kitashinagawa
    Kitashinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its traditional shopping streets, historic temples, and proximity to Shinagawa Station.
  • D. Sumida River
    The Sumida River is a historically significant river flowing through central Tokyo, known for its scenic bridges, cherry blossoms, and cultural prominence in Japanese art and literature.
  • E. Sumida
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • F. None of above.

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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:51 p.m.