Triple

T8145646
Position Surface form Disambiguated ID Type / Status
Subject Jianye E190202 entity
Predicate region P40 FINISHED
Object Jiangnan E37623 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: Jiangnan | Statement: [Jianye, region, Jiangnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiangnan
Context triple: [Jianye, region, Jiangnan]
  • A. Jiangdong
    Jiangdong is a historical region in southeastern China along the lower Yangtze River, known as the core territory and power base of the Eastern Wu state during the Three Kingdoms period.
  • B. Qujing
    Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
  • C. Yangtze River Delta chosen
    The Yangtze River Delta is a highly urbanized and economically vital region in eastern China, centered around the lower reaches of the Yangtze River and including major cities such as Shanghai.
  • D. Wujing
    Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
  • E. Jiangde
    Jiangde is a riverside city in China situated along the Xin’an River, known for its scenic landscapes and water-centered local life.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4447dbc48190affb0f34f6c85f5a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.