Triple

T12074739
Position Surface form Disambiguated ID Type / Status
Subject Moutai baijiu E287516 entity
Predicate placeOfOrigin P3743 FINISHED
Object Renhuai
Renhuai is a county-level city in Guizhou Province, China, best known as the production center of the famous Moutai baijiu.
E965282 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: Renhuai | Statement: [Moutai baijiu, placeOfOrigin, Renhuai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renhuai
Context triple: [Moutai baijiu, placeOfOrigin, Renhuai]
  • A. Pizhou
    Pizhou is a county-level city administered by Xuzhou in Jiangsu Province, eastern China, known for its historical sites and regional commerce.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Mianning
    Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • D. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • E. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • 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: Renhuai
Triple: [Moutai baijiu, placeOfOrigin, Renhuai]
Generated description
Renhuai is a county-level city in Guizhou Province, China, best known as the production center of the famous Moutai baijiu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Renhuai
Target entity description: Renhuai is a county-level city in Guizhou Province, China, best known as the production center of the famous Moutai baijiu.
  • A. Pizhou
    Pizhou is a county-level city administered by Xuzhou in Jiangsu Province, eastern China, known for its historical sites and regional commerce.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Mianning
    Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • D. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • E. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045bbc508190abf6e3316701e587 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ed5908190a0082796366a8825 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.