Triple

T15347488
Position Surface form Disambiguated ID Type / Status
Subject Benxi E366961 entity
Predicate hasPinyinName P2508 FINISHED
Object Běnxī
Běnxī is a prefecture-level city in Liaoning Province, northeastern China, known for its steel industry and scenic karst landscapes such as the Benxi Water Cave.
 E1151800 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: Běnxī | Statement: [Benxi, hasPinyinName, Běnxī]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Běnxī
Context triple: [Benxi, hasPinyinName, Běnxī]
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Bǎojī
    Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
  • C. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • D. Yìxiān
    Yìxiān is the courtesy name of Sun Yat-sen, the revolutionary leader often regarded as the founding father of modern China.
  • E. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • 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: Běnxī
Triple: [Benxi, hasPinyinName, Běnxī]
Generated description
Běnxī is a prefecture-level city in Liaoning Province, northeastern China, known for its steel industry and scenic karst landscapes such as the Benxi Water Cave.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Běnxī
Target entity description: Běnxī is a prefecture-level city in Liaoning Province, northeastern China, known for its steel industry and scenic karst landscapes such as the Benxi Water Cave.
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Bǎojī
    Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
  • C. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • D. Yìxiān
    Yìxiān is the courtesy name of Sun Yat-sen, the revolutionary leader often regarded as the founding father of modern China.
  • E. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fb46b48190a030e40ee0163559 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff031869a481909911d251aa9ce3e8 completed May 9, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69ff03c0ebc081908b1a132256e9d004 completed May 9, 2026, 9:52 a.m.
Created at: April 10, 2026, 3:17 a.m.