Triple

T8571338
Position Surface form Disambiguated ID Type / Status
Subject Liaocheng E202932 entity
Predicate hasPinyinName P2508 FINISHED
Object Liáochéng
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
E765913 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: Liáochéng | Statement: [Liaocheng, hasPinyinName, Liáochéng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liáochéng
Context triple: [Liaocheng, hasPinyinName, Liáochéng]
  • A. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Rongcheng
    Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
  • D. Rongcheng
    Rongcheng is a coastal city in eastern Shandong Province, China, known for its fishing industry, scenic seascapes, and location at the eastern tip of the Shandong Peninsula.
  • E. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • 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: Liáochéng
Triple: [Liaocheng, hasPinyinName, Liáochéng]
Generated description
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liáochéng
Target entity description: Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
  • A. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Rongcheng
    Rongcheng is a coastal city in eastern Shandong Province, China, known for its fishing industry, scenic seascapes, and location at the eastern tip of the Shandong Peninsula.
  • D. Rongcheng
    Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
  • E. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea4223888190a56d9026ae0b9ec0 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f4e2d881908fb539e842c20e8d completed April 3, 2026, 1 p.m.
NEDg Description generation batch_69cfba99abd88190bd3ec4ea1400f23d completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb86d43c81909090169dfb2f31fb completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:21 p.m.