Triple

T13705374
Position Surface form Disambiguated ID Type / Status
Subject 先斗町 E328625 entity
Predicate neighboring P17964 FINISHED
Object 鴨川
鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
E1218564 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: 鴨川 | Statement: [先斗町, neighboring, 鴨川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 鴨川
Context triple: [先斗町, neighboring, 鴨川]
  • A. 武庫川
    武庫川 is a river in Japan that flows through Hyōgo Prefecture, including parts of Nishinomiya and Amagasaki, before emptying into Osaka Bay.
  • B. Kansai River
    Kansai River is a tributary watercourse in eastern India that feeds into the Subarnarekha River system.
  • C. 長良川
    長良川 is a major river in central Japan renowned for its clear waters, traditional cormorant fishing, and scenic valleys flowing through Gifu Prefecture.
  • D. Higashikagawa
    Higashikagawa is a coastal city in eastern Kagawa Prefecture on Japan’s Shikoku island, known for its glove manufacturing industry and scenic Seto Inland Sea views.
  • E. Ise River
    The Ise River is a tributary watercourse in Lower Saxony, Germany, that feeds into the Aller River within the Weser river basin.
  • 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: 鴨川
Triple: [先斗町, neighboring, 鴨川]
Generated description
鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 鴨川
Target entity description: 鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
  • A. 武庫川
    武庫川 is a river in Japan that flows through Hyōgo Prefecture, including parts of Nishinomiya and Amagasaki, before emptying into Osaka Bay.
  • B. Kansai River
    Kansai River is a tributary watercourse in eastern India that feeds into the Subarnarekha River system.
  • C. 長良川
    長良川 is a major river in central Japan renowned for its clear waters, traditional cormorant fishing, and scenic valleys flowing through Gifu Prefecture.
  • D. Higashikagawa
    Higashikagawa is a coastal city in eastern Kagawa Prefecture on Japan’s Shikoku island, known for its glove manufacturing industry and scenic Seto Inland Sea views.
  • E. Ise River
    The Ise River is a tributary watercourse in Lower Saxony, Germany, that feeds into the Aller River within the Weser river basin.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
NEDg Description generation batch_6a00620e66788190acccf2c8fce00943 completed May 10, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0062665d908190b8127b21edcad30e completed May 10, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:54 p.m.