Triple

T5839537
Position Surface form Disambiguated ID Type / Status
Subject 松井石根 E129555 entity
Predicate 関連都市 P24465 FINISHED
Object 南京 E29741 NE FINISHED

How this triple was built (3 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: 南京 | Statement: [松井石根, 関連都市, 南京]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 南京
Context triple: [松井石根, 関連都市, 南京]
  • A. Nanjing chosen
    Nanjing is a major city in eastern China, historically significant as a former national capital and cultural center, and now an important political, economic, and educational hub on the Yangtze River.
  • B. Xuzhou
    Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
  • C. Huaian
    Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
  • D. Yangzhou
    Yangzhou is a historic city in eastern China renowned for its canals, gardens, and role as a major cultural and commercial center along the Grand Canal.
  • E. Changzhou
    Changzhou is a major industrial and commercial city in Jiangsu Province, eastern China, known for its manufacturing base and location along the Yangtze River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 関連都市
Context triple: [松井石根, 関連都市, 南京]
  • A. linkedCity
    Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
  • B. cityAssociatedWith chosen
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • C. hasAssociatedCity
    Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
  • D. isNeighboringCityOf
    Indicates that one city is geographically adjacent to or directly borders another city.
  • E. linkedToCapitalCity
    Indicates a relationship where an entity is associated or connected to a capital city, typically as its relevant or corresponding urban center.
  • F. None of above.

Provenance (4 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.