Triple

T3483896
Position Surface form Disambiguated ID Type / Status
Subject Japanese occupation of North China E73560 entity
Predicate administeredBy P86 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 occupation of North China, administeredBy, Mengjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengjiang
Context triple: [Japanese occupation of North China, administeredBy, 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. Dehong
    Dehong is an autonomous prefecture in southwestern China’s Yunnan Province, known for its ethnic diversity and location along the border with Myanmar.
  • C. Jize County
    Jize County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Kaili
    Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
  • E. Yilong County
    Yilong County is a county in northeastern Sichuan Province, China, historically notable as the birthplace of prominent Communist military leader Zhu De.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb781e9c8190810fdd814f506127 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6202ec81908c9614102e618fb5 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:17 p.m.