Triple

T11309706
Position Surface form Disambiguated ID Type / Status
Subject 高槻市 E267804 entity
Predicate hasRiver P165 FINISHED
Object 芥川
芥川は大阪府北部を流れ、淀川水系の一部をなす河川で、高槻市の自然景観や歴史と深く結びついている川である。
E917328 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: 芥川 | Statement: [高槻市, hasRiver, 芥川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 芥川
Context triple: [高槻市, hasRiver, 芥川]
  • A. 中江兆民
    中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
  • B. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • C. 村上
    村上 is a common Japanese surname borne by many individuals, including notable figures in sports, arts, and public life.
  • D. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • E. Ryūnosuke Akutagawa
    Ryūnosuke Akutagawa was a pioneering early 20th-century Japanese writer, often called the "father of the Japanese short story," best known internationally for works like "Rashōmon" and "In a Grove."
  • 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: 芥川
Triple: [高槻市, hasRiver, 芥川]
Generated description
芥川は大阪府北部を流れ、淀川水系の一部をなす河川で、高槻市の自然景観や歴史と深く結びついている川である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 芥川
Target entity description: 芥川は大阪府北部を流れ、淀川水系の一部をなす河川で、高槻市の自然景観や歴史と深く結びついている川である。
  • A. 中江兆民
    中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
  • B. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • C. 村上
    村上 is a common Japanese surname borne by many individuals, including notable figures in sports, arts, and public life.
  • D. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • E. Ryūnosuke Akutagawa
    Ryūnosuke Akutagawa was a pioneering early 20th-century Japanese writer, often called the "father of the Japanese short story," best known internationally for works like "Rashōmon" and "In a Grove."
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.