Triple

T2675825
Position Surface form Disambiguated ID Type / Status
Subject Kamo River E56456 entity
Predicate crossedBy P416 FINISHED
Object Gojo Ohashi
Gojo Ohashi is a notable bridge in Kyoto, Japan, spanning the Kamo River and serving as an important local thoroughfare.
 E287115 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: Gojo Ohashi | Statement: [Kamo River, crossedBy, Gojo Ohashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gojo Ohashi
Context triple: [Kamo River, crossedBy, Gojo Ohashi]
  • A. Gojo
    Gojo is a small city in Japan’s Nara Prefecture known for its traditional townscape and proximity to the Yoshino River.
  • B. Jotaro Kawakami
    Jotaro Kawakami was a prominent Japanese socialist politician who served as a leading figure in the Japan Socialist Party during the mid-20th century.
  • C. Kiyoshi Katsuki
    Kiyoshi Katsuki was an Imperial Japanese Army general who played a leading role in Japan’s early Second Sino-Japanese War campaigns, including high-level command during the Battle of Shanghai in 1937.
  • D. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • E. Nishi Amane
    Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
  • 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: Gojo Ohashi
Triple: [Kamo River, crossedBy, Gojo Ohashi]
Generated description
Gojo Ohashi is a notable bridge in Kyoto, Japan, spanning the Kamo River and serving as an important local thoroughfare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gojo Ohashi
Target entity description: Gojo Ohashi is a notable bridge in Kyoto, Japan, spanning the Kamo River and serving as an important local thoroughfare.
  • A. Gojo
    Gojo is a small city in Japan’s Nara Prefecture known for its traditional townscape and proximity to the Yoshino River.
  • B. Jotaro Kawakami
    Jotaro Kawakami was a prominent Japanese socialist politician who served as a leading figure in the Japan Socialist Party during the mid-20th century.
  • C. Kiyoshi Katsuki
    Kiyoshi Katsuki was an Imperial Japanese Army general who played a leading role in Japan’s early Second Sino-Japanese War campaigns, including high-level command during the Battle of Shanghai in 1937.
  • D. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • E. Nishi Amane
    Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b3530c819093942cc985f814ef completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e714e08190aa873b8501c89479 completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa18335548190b186323227d55e63 completed March 10, 2026, 4:43 a.m.
Created at: March 6, 2026, 9:54 p.m.