Triple

T2567007
Position Surface form Disambiguated ID Type / Status
Subject Arashiyama Bamboo Grove E57374 entity
Predicate near P350 FINISHED
Object Hozu River
The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama area.
 E344373 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: Hozu River | Statement: [Arashiyama Bamboo Grove, near, Hozu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hozu River
Context triple: [Arashiyama Bamboo Grove, near, Hozu River]
  • A. Shinano River
    The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
  • B. Mukogawa River
    The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
  • C. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • D. Minoh River
    The Minoh River is a small scenic river in Osaka Prefecture, Japan, known for flowing through Minoh Quasi-National Park and alongside the famous Minoh Waterfall.
  • E. Naka River
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • 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: Hozu River
Triple: [Arashiyama Bamboo Grove, near, Hozu River]
Generated description
The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hozu River
Target entity description: The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama area.
  • A. Shinano River
    The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
  • B. Mukogawa River
    The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
  • C. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • D. Minoh River
    The Minoh River is a small scenic river in Osaka Prefecture, Japan, known for flowing through Minoh Quasi-National Park and alongside the famous Minoh Waterfall.
  • E. Naka River
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e803e994819085dae09224fae2a3 completed March 12, 2026, 4:21 p.m.
NEDg Description generation batch_69b2e9b82a288190a6c1700e19966de6 completed March 12, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea0d98ec8190beb74a32f46554bc completed March 12, 2026, 4:30 p.m.
Created at: March 6, 2026, 9:48 p.m.