Triple

T22324424
Position Surface form Disambiguated ID Type / Status
Subject 第二次上海事変 E551866 entity
Predicate 主な戦場 P146580 FINISHED
Object 南翔
南翔は上海市嘉定区に位置する、古くからの街並みと小籠包で知られる歴史的な町である。
E1531169 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: 南翔 | Statement: [第二次上海事変, 主な戦場, 南翔]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 南翔
Context triple: [第二次上海事変, 主な戦場, 南翔]
  • A. 松江市
    松江市 is the capital city of Shimane Prefecture in Japan, known for its historic Matsue Castle, scenic lakes, and traditional cultural atmosphere.
  • B. Qingpu Xincheng
    Qingpu Xincheng is a metro station in Shanghai serving the Qingpu New Town area on the city's western outskirts.
  • C. Changning City
    Changning City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Hengyang.
  • D. Chongming District
    Chongming District is a largely rural island district at the mouth of the Yangtze River, known as Shanghai’s ecological and agricultural hinterland.
  • E. Xinhui
    Xinhui is a district in Jiangmen, Guangdong Province, China, historically known as a significant hometown of overseas Chinese and part of the Pearl River Delta region.
  • 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: 南翔
Triple: [第二次上海事変, 主な戦場, 南翔]
Generated description
南翔は上海市嘉定区に位置する、古くからの街並みと小籠包で知られる歴史的な町である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 南翔
Target entity description: 南翔は上海市嘉定区に位置する、古くからの街並みと小籠包で知られる歴史的な町である。
  • A. 松江市
    松江市 is the capital city of Shimane Prefecture in Japan, known for its historic Matsue Castle, scenic lakes, and traditional cultural atmosphere.
  • B. Qingpu Xincheng
    Qingpu Xincheng is a metro station in Shanghai serving the Qingpu New Town area on the city's western outskirts.
  • C. Changning City
    Changning City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Hengyang.
  • D. Chongming District
    Chongming District is a largely rural island district at the mouth of the Yangtze River, known as Shanghai’s ecological and agricultural hinterland.
  • E. Xinhui
    Xinhui is a district in Jiangmen, Guangdong Province, China, historically known as a significant hometown of overseas Chinese and part of the Pearl River Delta region.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15767425481909547bfe294fe06de completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad51df24881908b67adcb29b62d7c completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:42 p.m.