Triple

T18181966
Position Surface form Disambiguated ID Type / Status
Subject Qinzhou E435308 entity
Predicate hasSubdivision P747 FINISHED
Object Qinbei District
Qinbei District is an urban administrative district of Qinzhou in Guangxi, China, known for its role as a local political and economic center.
E1440654 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: Qinbei District | Statement: [Qinzhou, hasSubdivision, Qinbei District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qinbei District
Context triple: [Qinzhou, hasSubdivision, Qinbei District]
  • A. Zhanqian District
    Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
  • B. Zhanyi District
    Zhanyi District is an administrative district under the jurisdiction of Qujing City in Yunnan Province, China, known for its role in regional agriculture and transportation.
  • C. Qixing District
    Qixing District is an urban district of Guilin in Guangxi, China, known for its scenic karst landscapes and popular tourist attractions.
  • D. Hecheng District
    Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
  • E. Xiejiaji District
    Xiejiaji District is an urban administrative district of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
  • 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: Qinbei District
Triple: [Qinzhou, hasSubdivision, Qinbei District]
Generated description
Qinbei District is an urban administrative district of Qinzhou in Guangxi, China, known for its role as a local political and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qinbei District
Target entity description: Qinbei District is an urban administrative district of Qinzhou in Guangxi, China, known for its role as a local political and economic center.
  • A. Zhanqian District
    Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
  • B. Zhanyi District
    Zhanyi District is an administrative district under the jurisdiction of Qujing City in Yunnan Province, China, known for its role in regional agriculture and transportation.
  • C. Qixing District
    Qixing District is an urban district of Guilin in Guangxi, China, known for its scenic karst landscapes and popular tourist attractions.
  • D. Hecheng District
    Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
  • E. Xiejiaji District
    Xiejiaji District is an urban administrative district of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffb3bc88190a627be9c444d5c7d completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bafa6c60819085ff1d365a18d79c completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:31 a.m.