Triple

T11999013
Position Surface form Disambiguated ID Type / Status
Subject Taku City E285606 entity
Predicate hasJapaneseName P9882 FINISHED
Object 多久市
多久市 is a small city in Saga Prefecture on Japan’s Kyushu island, known for its rural landscapes, historical sites, and traditional ceramics.
 E958945 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: 多久市 | Statement: [Taku City, hasJapaneseName, 多久市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 多久市
Context triple: [Taku City, hasJapaneseName, 多久市]
  • A. Shouxin
    Shouxin is the given name of Nie Er, the Chinese composer best known for writing the national anthem of the People's Republic of China.
  • B. Weihui
    Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
  • C. Yuanshi
    Yuanshi was a Chinese imperial era name used during the reign of Emperor Wu of the Han dynasty.
  • D. Sanmu
    Sanmu is a coastal city in Chiba Prefecture, Japan, known for its proximity to the Pacific Ocean and popular seaside areas.
  • E. Yuming
    Yuming is a Chinese given name shared by various individuals across different fields.
  • 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: 多久市
Triple: [Taku City, hasJapaneseName, 多久市]
Generated description
多久市 is a small city in Saga Prefecture on Japan’s Kyushu island, known for its rural landscapes, historical sites, and traditional ceramics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 多久市
Target entity description: 多久市 is a small city in Saga Prefecture on Japan’s Kyushu island, known for its rural landscapes, historical sites, and traditional ceramics.
  • A. Shouxin
    Shouxin is the given name of Nie Er, the Chinese composer best known for writing the national anthem of the People's Republic of China.
  • B. Weihui
    Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
  • C. Yuanshi
    Yuanshi was a Chinese imperial era name used during the reign of Emperor Wu of the Han dynasty.
  • D. Sanmu
    Sanmu is a coastal city in Chiba Prefecture, Japan, known for its proximity to the Pacific Ocean and popular seaside areas.
  • E. Yuming
    Yuming is a Chinese given name shared by various individuals across different fields.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7e4a40819085680c48eed5418a completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47df40a8c8190bd7350ba27f57214 completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.