Triple

T9450165
Position Surface form Disambiguated ID Type / Status
Subject Ōita Prefecture E227866 entity
Predicate contains P35 FINISHED
Object Bungotakada
Bungotakada is a small coastal city in northeastern Kyushu, Japan, known for its preserved Showa-era townscape and scenic rural landscapes.
 E800699 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: Bungotakada | Statement: [Ōita Prefecture, contains, Bungotakada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bungotakada
Context triple: [Ōita Prefecture, contains, Bungotakada]
  • A. Bungoono
    Bungoono is a city located in southern Ōita Prefecture on Japan’s Kyushu island, known for its rural landscapes, hot springs, and historic stone Buddhas.
  • B. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • C. Tebunginako
    Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
  • D. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • E. Bung Tomo
    Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
  • 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: Bungotakada
Triple: [Ōita Prefecture, contains, Bungotakada]
Generated description
Bungotakada is a small coastal city in northeastern Kyushu, Japan, known for its preserved Showa-era townscape and scenic rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bungotakada
Target entity description: Bungotakada is a small coastal city in northeastern Kyushu, Japan, known for its preserved Showa-era townscape and scenic rural landscapes.
  • A. Bungoono
    Bungoono is a city located in southern Ōita Prefecture on Japan’s Kyushu island, known for its rural landscapes, hot springs, and historic stone Buddhas.
  • B. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • C. Tebunginako
    Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
  • D. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • E. Bung Tomo
    Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1235eccb88190943355bdc4e3a873 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123e548e88190a85c8b3822879b72 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:51 p.m.