Triple

T8880781
Position Surface form Disambiguated ID Type / Status
Subject Qujing E211404 entity
Predicate romanization P2508 FINISHED
Object Qǔjìng
Qǔjìng is a prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and economic hub.
 E765332 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: Qǔjìng | Statement: [Qujing, romanization, Qǔjìng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qǔjìng
Context triple: [Qujing, romanization, Qǔjìng]
  • A. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • B. Qingsheng
    Qingsheng is a railway station and surrounding area in Guangzhou, China, that serves as a stop on the high-speed corridor connecting Guangzhou, Shenzhen, and Hong Kong.
  • C. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • 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: Qǔjìng
Triple: [Qujing, romanization, Qǔjìng]
Generated description
Qǔjìng is a prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and economic hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qǔjìng
Target entity description: Qǔjìng is a prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and economic hub.
  • A. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • B. Qingsheng
    Qingsheng is a railway station and surrounding area in Guangzhou, China, that serves as a stop on the high-speed corridor connecting Guangzhou, Shenzhen, and Hong Kong.
  • C. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
NEDg Description generation batch_69cfadbfa4888190931c76599631366a completed April 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfae3a88dc81908419c44bc83b188a completed April 3, 2026, 12:10 p.m.
Created at: March 30, 2026, 6:52 p.m.