Triple

T5553186
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 略称 P43 FINISHED
Object 湘新
湘新 is a common abbreviation for the Shōnan–Shinjuku Line, a major JR East railway service connecting the Shōnan area with central Tokyo and beyond.
E536021 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: 湘新 | Statement: [湘南新宿ライン, 略称, 湘新]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 湘新
Context triple: [湘南新宿ライン, 略称, 湘新]
  • A. Zhongxiao Xinsheng
    Zhongxiao Xinsheng is a key Taipei Metro station in central Taipei that serves as an important transfer point between multiple subway lines.
  • B. Ningxiang
    Ningxiang is a county-level city in Hunan Province, China, administered by the prefecture-level city of Changsha and known for its rapidly developing economy and rich cultural heritage.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Shaoshan
    Shaoshan is a town in Hunan Province, China, best known as the birthplace of Mao Zedong and a significant site of modern Chinese revolutionary history.
  • E.
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • 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: 湘新
Triple: [湘南新宿ライン, 略称, 湘新]
Generated description
湘新 is a common abbreviation for the Shōnan–Shinjuku Line, a major JR East railway service connecting the Shōnan area with central Tokyo and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 湘新
Target entity description: 湘新 is a common abbreviation for the Shōnan–Shinjuku Line, a major JR East railway service connecting the Shōnan area with central Tokyo and beyond.
  • A. Zhongxiao Xinsheng
    Zhongxiao Xinsheng is a key Taipei Metro station in central Taipei that serves as an important transfer point between multiple subway lines.
  • B. Ningxiang
    Ningxiang is a county-level city in Hunan Province, China, administered by the prefecture-level city of Changsha and known for its rapidly developing economy and rich cultural heritage.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Shaoshan
    Shaoshan is a town in Hunan Province, China, best known as the birthplace of Mao Zedong and a significant site of modern Chinese revolutionary history.
  • E.
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.