Triple

T17828740
Position Surface form Disambiguated ID Type / Status
Subject Kamikawa Subprefecture E445192 entity
Predicate contains P35 FINISHED
Object Bifuka
Bifuka is a small town in northern Hokkaido, Japan, known for its rural landscapes, cold climate, and forestry-based economy.
 E1289023 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: Bifuka | Statement: [Kamikawa Subprefecture, contains, Bifuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bifuka
Context triple: [Kamikawa Subprefecture, contains, Bifuka]
  • A. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • B. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • C. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • D. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • E. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • 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: Bifuka
Triple: [Kamikawa Subprefecture, contains, Bifuka]
Generated description
Bifuka is a small town in northern Hokkaido, Japan, known for its rural landscapes, cold climate, and forestry-based economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bifuka
Target entity description: Bifuka is a small town in northern Hokkaido, Japan, known for its rural landscapes, cold climate, and forestry-based economy.
  • A. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • B. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • C. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • D. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • E. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • 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.