Triple

T6676956
Position Surface form Disambiguated ID Type / Status
Subject Luzhou E151875 entity
Predicate hasPinyin P2508 FINISHED
Object Lúzhōu
Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
 E621957 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: Lúzhōu | Statement: [Luzhou, hasPinyin, Lúzhōu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lúzhōu
Context triple: [Luzhou, hasPinyin, Lúzhōu]
  • A. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • B. Taizhou
    Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
  • C. Zhoushan City
    Zhoushan City is a prefecture-level port city in Zhejiang Province, China, comprising a large archipelago and serving as a major maritime and fishing hub in the East China Sea.
  • D. Zhenjiang
    Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
  • E. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • 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: Lúzhōu
Triple: [Luzhou, hasPinyin, Lúzhōu]
Generated description
Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lúzhōu
Target entity description: Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
  • A. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • B. Taizhou
    Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
  • C. Zhoushan City
    Zhoushan City is a prefecture-level port city in Zhejiang Province, China, comprising a large archipelago and serving as a major maritime and fishing hub in the East China Sea.
  • D. Zhenjiang
    Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
  • E. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f4184481908869354addf4f8c4 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723b8a5288190a2fb4d956f2dc385 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c724f876d08190a19dd4e0840f841b completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:03 p.m.