Triple

T1695758
Position Surface form Disambiguated ID Type / Status
Subject Shang dynasty E36653 entity
Predicate capital P234 FINISHED
Object Yin
Yin was the last and most prominent capital city of China’s Shang dynasty, serving as its political and cultural center.
 E191612 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: Yin | Statement: [Shang dynasty, capital, Yin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yin
Context triple: [Shang dynasty, capital, Yin]
  • A. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • B. Yue
    Yue is a given name that appears in various East Asian cultures, often associated with meanings like "moon" or "delight" depending on the characters used.
  • C. Yang
    Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
  • D. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • E. Yih
    Yih is the surname of Chia-Shun Yih, a notable Chinese-American engineer and fluid dynamicist.
  • 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: Yin
Triple: [Shang dynasty, capital, Yin]
Generated description
Yin was the last and most prominent capital city of China’s Shang dynasty, serving as its political and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yin
Target entity description: Yin was the last and most prominent capital city of China’s Shang dynasty, serving as its political and cultural center.
  • A. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • B. Yue
    Yue is a given name that appears in various East Asian cultures, often associated with meanings like "moon" or "delight" depending on the characters used.
  • C. Yang
    Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
  • D. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • E. Yih
    Yih is the surname of Chia-Shun Yih, a notable Chinese-American engineer and fluid dynamicist.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7998e1108190aa7430cd4ef887d9 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7a224d248190b0d1a7f70b76c164 completed March 8, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b4b4a208190966fa07a6f0d626e completed March 8, 2026, 1:36 p.m.
Created at: March 4, 2026, 7:30 p.m.