Triple

T8770848
Position Surface form Disambiguated ID Type / Status
Subject 120th Division E208455 entity
Predicate areaOfOperations P710 FINISHED
Object Suiyuan E368337 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: Suiyuan | Statement: [120th Division, areaOfOperations, Suiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suiyuan
Context triple: [120th Division, areaOfOperations, Suiyuan]
  • A. Suiyuan chosen
    Suiyuan was a historical province in northern China that became a strategic battleground and occupied territory during Japan’s expansion into North China in the 1930s.
  • B. Luohe
    Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport and industrial hub.
  • C. Beiyun River
    The Beiyun River is a major waterway in northern China that serves as an important tributary within the Hai River basin, playing a key role in regional water transport and drainage.
  • D. Yongding River
    The Yongding River is a major river in northern China that flows through Beijing and Tianjin and serves as one of the principal headwaters of the Hai River system.
  • E. Chaobai River
    The Chaobai River is a major river in northern China that flows through Hebei Province and Beijing, contributing significantly to the Hai River basin and regional water resources.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.