Triple

T1468397
Position Surface form Disambiguated ID Type / Status
Subject Japanese colonial empire E27077 entity
Predicate hasPart P35 FINISHED
Object Mengjiang E44869 NE FINISHED

How this triple was built (2 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: Mengjiang | Statement: [Japanese colonial empire, hasPart, Mengjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengjiang
Context triple: [Japanese colonial empire, hasPart, Mengjiang]
  • A. Mengjiang chosen
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • B. Yilong County
    Yilong County is a county in northeastern Sichuan Province, China, historically notable as the birthplace of prominent Communist military leader Zhu De.
  • C. Maipo Province
    Maipo Province is an administrative division in central Chile, located in the Santiago Metropolitan Region and known for its agricultural areas and proximity to the capital.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d70a948190b50a6c1b36abc740 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7e7f848190a8abcb73e89e8e34 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8:01 p.m.