Triple

T12594627
Position Surface form Disambiguated ID Type / Status
Subject Mount Tsukuba E300701 entity
Predicate hasOnsen P105594 FINISHED
Object Tsukuba Onsen area
Tsukuba Onsen area is a hot spring resort district near Mount Tsukuba in Japan, known for its traditional baths, scenic mountain views, and relaxing ryokan accommodations.
E991765 NE FINISHED

How this triple was built (5 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: Tsukuba Onsen area | Statement: [Mount Tsukuba, hasOnsen, Tsukuba Onsen area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukuba Onsen area
Context triple: [Mount Tsukuba, hasOnsen, Tsukuba Onsen area]
  • A. Kamegawa Onsen district
    Kamegawa Onsen district is a hot spring area in Beppu, Japan, known for its traditional baths and geothermal scenery.
  • B. Nanasawa Onsen area
    Nanasawa Onsen area is a hot spring resort district in Atsugi, Kanagawa Prefecture, known for its natural baths, forested mountain scenery, and traditional ryokan inns.
  • C. Tamagawa Onsen
    Tamagawa Onsen is a famous hot spring resort in Japan known for its highly acidic waters and natural steam vents, often visited for therapeutic and health purposes.
  • D. Hamawaki Onsen district
    Hamawaki Onsen district is one of Beppu’s historic hot spring neighborhoods in Ōita Prefecture, Japan, known for its traditional bathhouses and long-standing onsen culture.
  • E. Kinosaki Onsen
    Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
  • 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: Tsukuba Onsen area
Triple: [Mount Tsukuba, hasOnsen, Tsukuba Onsen area]
Generated description
Tsukuba Onsen area is a hot spring resort district near Mount Tsukuba in Japan, known for its traditional baths, scenic mountain views, and relaxing ryokan accommodations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsukuba Onsen area
Target entity description: Tsukuba Onsen area is a hot spring resort district near Mount Tsukuba in Japan, known for its traditional baths, scenic mountain views, and relaxing ryokan accommodations.
  • A. Kamegawa Onsen district
    Kamegawa Onsen district is a hot spring area in Beppu, Japan, known for its traditional baths and geothermal scenery.
  • B. Nanasawa Onsen area
    Nanasawa Onsen area is a hot spring resort district in Atsugi, Kanagawa Prefecture, known for its natural baths, forested mountain scenery, and traditional ryokan inns.
  • C. Tamagawa Onsen
    Tamagawa Onsen is a famous hot spring resort in Japan known for its highly acidic waters and natural steam vents, often visited for therapeutic and health purposes.
  • D. Hamawaki Onsen district
    Hamawaki Onsen district is one of Beppu’s historic hot spring neighborhoods in Ōita Prefecture, Japan, known for its traditional bathhouses and long-standing onsen culture.
  • E. Kinosaki Onsen
    Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOnsen
Context triple: [Mount Tsukuba, hasOnsen, Tsukuba Onsen area]
  • A. hasWaka
    Indicates that an entity possesses, contains, or is associated with a waka (such as a traditional canoe, vessel, or similarly defined object).
  • B. hasMikoshi
    Indicates that an entity possesses, contains, or is associated with a mikoshi (a portable Shinto shrine).
  • C. hasTorii
    Indicates that something possesses or features a torii gate as part of its structure or environment.
  • D. hasApp
    Indicates that an entity possesses, provides, or is associated with a particular application.
  • E. hasStand
    Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
  • F. None of above. chosen

Provenance (7 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95416cbd88190b2c65196162349bc completed April 10, 2026, 7:48 p.m.
PDg Predicate description generation batch_69d954e351f88190869220d46e0ce282 completed April 10, 2026, 7:52 p.m.
Created at: April 9, 2026, 5:08 p.m.