Triple

T9889066
Position Surface form Disambiguated ID Type / Status
Subject Jin Chinese E181410 entity
Predicate alternativeName P39 FINISHED
Object Jinyu
Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
 E830852 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: Jinyu | Statement: [Jin Chinese, alternativeName, Jinyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jinyu
Context triple: [Jin Chinese, alternativeName, Jinyu]
  • A. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • 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: Jinyu
Triple: [Jin Chinese, alternativeName, Jinyu]
Generated description
Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jinyu
Target entity description: Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
  • A. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47be2988190811a99dc56ae542a completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22891cb4c8190b4d378749599bdda completed April 5, 2026, 9:17 a.m.
NEDg Description generation batch_69d22968194c8190b919ed3ab2dcfc33 completed April 5, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69d229d10dac81909f34a9977e6445a0 completed April 5, 2026, 9:22 a.m.
Created at: March 30, 2026, 8:39 p.m.