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
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
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.