Triple

T13340872
Position Surface form Disambiguated ID Type / Status
Subject Garden of Cultivation E317819 entity
Predicate pinyinName P9333 FINISHED
Object Yì Pǔ
Yì Pǔ is the pinyin name of the Garden of Cultivation, a classical Chinese garden in Suzhou renowned for its refined design and historical significance.
E1034588 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: Yì Pǔ | Statement: [Garden of Cultivation, pinyinName, Yì Pǔ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yì Pǔ
Context triple: [Garden of Cultivation, pinyinName, Yì Pǔ]
  • A. Hán
    Hán is the pinyin transcription of the name of the ancient Chinese State of Han, one of the major states during the Warring States period.
  • B. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • C. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • D. Hóngrěn
    Hóngrěn is a romanized Chinese name, written in Hanyu Pinyin, that can refer to various individuals depending on the context.
  • E. Pinghua
    Pinghua is a Sinitic language variety spoken primarily in parts of Guangxi and neighboring regions in southern China, often considered distinct from both Cantonese and Mandarin.
  • 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: Yì Pǔ
Triple: [Garden of Cultivation, pinyinName, Yì Pǔ]
Generated description
Yì Pǔ is the pinyin name of the Garden of Cultivation, a classical Chinese garden in Suzhou renowned for its refined design and historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yì Pǔ
Target entity description: Yì Pǔ is the pinyin name of the Garden of Cultivation, a classical Chinese garden in Suzhou renowned for its refined design and historical significance.
  • A. Hán
    Hán is the pinyin transcription of the name of the ancient Chinese State of Han, one of the major states during the Warring States period.
  • B. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • C. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • D. Hóngrěn
    Hóngrěn is a romanized Chinese name, written in Hanyu Pinyin, that can refer to various individuals depending on the context.
  • E. Pinghua
    Pinghua is a Sinitic language variety spoken primarily in parts of Guangxi and neighboring regions in southern China, often considered distinct from both Cantonese and Mandarin.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3ecf4c8190bb9eee699859dc08 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f72018c4848190941732e3a938278a completed May 3, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_69f720bf04548190833af70061b017a1 completed May 3, 2026, 10:17 a.m.
Created at: April 9, 2026, 9:31 p.m.