Triple

T5643491
Position Surface form Disambiguated ID Type / Status
Subject Nunobiki Falls E124325 entity
Predicate locatedOn P40 FINISHED
Object Nunobiki River
Nunobiki River is a short mountain stream in Kobe, Japan, known for flowing through the scenic Nunobiki Falls area before reaching the city.
E562741 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: Nunobiki River | Statement: [Nunobiki Falls, locatedOn, Nunobiki River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nunobiki River
Context triple: [Nunobiki Falls, locatedOn, Nunobiki River]
  • A. Inagawa River
    The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
  • B. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • C. Naka River
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • D. Yūbari River
    The Yūbari River is a river in Hokkaido, Japan, known for flowing through the former coal-mining city of Yūbari and into the Ishikari River system.
  • E. Tamakoshi River
    The Tamakoshi River is a significant Himalayan river in Nepal known for its hydropower potential and contribution to the Koshi river system.
  • 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: Nunobiki River
Triple: [Nunobiki Falls, locatedOn, Nunobiki River]
Generated description
Nunobiki River is a short mountain stream in Kobe, Japan, known for flowing through the scenic Nunobiki Falls area before reaching the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nunobiki River
Target entity description: Nunobiki River is a short mountain stream in Kobe, Japan, known for flowing through the scenic Nunobiki Falls area before reaching the city.
  • A. Inagawa River
    The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
  • B. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • C. Naka River
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • D. Yūbari River
    The Yūbari River is a river in Hokkaido, Japan, known for flowing through the former coal-mining city of Yūbari and into the Ishikari River system.
  • E. Tamakoshi River
    The Tamakoshi River is a significant Himalayan river in Nepal known for its hydropower potential and contribution to the Koshi river system.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107bf6994819089e1211ffe343094 completed March 23, 2026, 9:28 a.m.
NEDg Description generation batch_69c1090a7bac8190b5b9e003659b4b34 completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c10d5102348190a9ec7421b1410a99 completed March 23, 2026, 9:52 a.m.
Created at: March 22, 2026, 3:41 p.m.