Triple

T6917852
Position Surface form Disambiguated ID Type / Status
Subject Tongling E160108 entity
Predicate hasSubdivision P747 FINISHED
Object Jiaoqu
Jiaoqu is an urban district that forms part of the prefecture-level city of Tongling in Anhui Province, China.
 E629727 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: Jiaoqu | Statement: [Tongling, hasSubdivision, Jiaoqu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiaoqu
Context triple: [Tongling, hasSubdivision, Jiaoqu]
  • A. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • B. Zhujiajiao
    Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
  • C. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Qitaihe
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang Province.
  • E. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • 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: Jiaoqu
Triple: [Tongling, hasSubdivision, Jiaoqu]
Generated description
Jiaoqu is an urban district that forms part of the prefecture-level city of Tongling in Anhui Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiaoqu
Target entity description: Jiaoqu is an urban district that forms part of the prefecture-level city of Tongling in Anhui Province, China.
  • A. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • B. Zhujiajiao
    Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
  • C. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Qitaihe
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang Province.
  • E. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512b39b081908370c43ed3d65829 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7523737e48190b2ad3e7bea02878d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c752eb3e1c8190bad35727e573c41f completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:26 p.m.