Triple

T17828742
Position Surface form Disambiguated ID Type / Status
Subject Kamikawa Subprefecture E445192 entity
Predicate contains P35 FINISHED
Object Horokanai
Horokanai is a small town in northern Hokkaido, Japan, known for its heavy snowfall and production of buckwheat used in soba noodles.
 E1289025 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: Horokanai | Statement: [Kamikawa Subprefecture, contains, Horokanai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horokanai
Context triple: [Kamikawa Subprefecture, contains, Horokanai]
  • A. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • B. Ohoka
    Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
  • C. Hambukushu
    The Hambukushu are a Bantu-speaking ethnic group of the Okavango region in Botswana and neighboring countries, known for riverine farming, fishing, and rich oral traditions.
  • D. Kamoenai
    Kamoenai is a small coastal village in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
  • E. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • 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: Horokanai
Triple: [Kamikawa Subprefecture, contains, Horokanai]
Generated description
Horokanai is a small town in northern Hokkaido, Japan, known for its heavy snowfall and production of buckwheat used in soba noodles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horokanai
Target entity description: Horokanai is a small town in northern Hokkaido, Japan, known for its heavy snowfall and production of buckwheat used in soba noodles.
  • A. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • B. Ohoka
    Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
  • C. Hambukushu
    The Hambukushu are a Bantu-speaking ethnic group of the Okavango region in Botswana and neighboring countries, known for riverine farming, fishing, and rich oral traditions.
  • D. Kamoenai
    Kamoenai is a small coastal village in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
  • E. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891696cc819092ee6db7c4a6fae1 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6ef154819087a1d3781e475167 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03001b0368819084136d1f88d8a01a completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300cea244819080acab78691afd16 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.