Triple

T9450168
Position Surface form Disambiguated ID Type / Status
Subject Ōita Prefecture E227866 entity
Predicate contains P35 FINISHED
Object Bungo-ōno
Bungo-ōno is a city in southern Ōita Prefecture, Japan, known for its rural landscapes, waterfalls, and agricultural production.
 E800700 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: Bungo-ōno | Statement: [Ōita Prefecture, contains, Bungo-ōno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bungo-ōno
Context triple: [Ōita Prefecture, contains, Bungo-ōno]
  • A. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • B. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • C. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • D. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • E. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama 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: Bungo-ōno
Triple: [Ōita Prefecture, contains, Bungo-ōno]
Generated description
Bungo-ōno is a city in southern Ōita Prefecture, Japan, known for its rural landscapes, waterfalls, and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bungo-ōno
Target entity description: Bungo-ōno is a city in southern Ōita Prefecture, Japan, known for its rural landscapes, waterfalls, and agricultural production.
  • A. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • B. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • C. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • D. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • E. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama 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_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.