Triple

T2963993
Position Surface form Disambiguated ID Type / Status
Subject Taiyuan E80116 entity
Predicate hasSubdivisions P747 FINISHED
Object Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
 E365120 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: Jinyuan District | Statement: [Taiyuan, hasSubdivisions, Jinyuan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jinyuan District
Context triple: [Taiyuan, hasSubdivisions, Jinyuan District]
  • A. Xiaonan District
    Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
  • B. Qingshan District
    Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
  • C. Yingze District
    Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
  • D. Yuhua District
    Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • E. Xiaoting District
    Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
  • 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: Jinyuan District
Triple: [Taiyuan, hasSubdivisions, Jinyuan District]
Generated description
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jinyuan District
Target entity description: Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
  • A. Xiaonan District
    Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
  • B. Qingshan District
    Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
  • C. Yingze District
    Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
  • D. Yuhua District
    Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • E. Xiaoting District
    Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9958b1e48190a77f37bf63333c5b completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e46453c819084e459311ac0cdd9 completed March 13, 2026, 3:02 a.m.
NEDg Description generation batch_69b37ecd49ac8190a1c66ca23eef8466 completed March 13, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_69b37f300a748190aa68556910c851d8 completed March 13, 2026, 3:06 a.m.
Created at: March 8, 2026, 2:58 p.m.