Triple

T3911296
Position Surface form Disambiguated ID Type / Status
Subject Beppu E87326 entity
Predicate hasTouristAttraction P530 FINISHED
Object Chinoike Jigoku
Chinoike Jigoku is a famous “blood pond” hot spring in Beppu, Japan, known for its striking red-colored boiling water and dramatic geothermal scenery.
 E398393 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: Chinoike Jigoku | Statement: [Beppu, hasTouristAttraction, Chinoike Jigoku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chinoike Jigoku
Context triple: [Beppu, hasTouristAttraction, Chinoike Jigoku]
  • A. Rinshunkaku
    Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Beppu
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Daibyakurenge
    Daibyakurenge is a principal Buddhist study and doctrinal magazine of the Soka Gakkai lay Buddhist organization in 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: Chinoike Jigoku
Triple: [Beppu, hasTouristAttraction, Chinoike Jigoku]
Generated description
Chinoike Jigoku is a famous “blood pond” hot spring in Beppu, Japan, known for its striking red-colored boiling water and dramatic geothermal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chinoike Jigoku
Target entity description: Chinoike Jigoku is a famous “blood pond” hot spring in Beppu, Japan, known for its striking red-colored boiling water and dramatic geothermal scenery.
  • A. Rinshunkaku
    Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Beppu
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Daibyakurenge
    Daibyakurenge is a principal Buddhist study and doctrinal magazine of the Soka Gakkai lay Buddhist organization in 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb454c48190bf47d080f6cc24f0 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5206dfd848190ae7aaa9997150934 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b520ce6af481909b7824c2ec221331 completed March 14, 2026, 8:48 a.m.
Created at: March 9, 2026, 3:22 p.m.