Triple

T16823000
Position Surface form Disambiguated ID Type / Status
Subject Zhu Shizhen E408941 entity
Predicate region P40 FINISHED
Object Anhui E13352 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: Anhui | Statement: [Zhu Shizhen, region, Anhui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anhui
Context triple: [Zhu Shizhen, region, Anhui]
  • A. Anhui chosen
    Anhui is an eastern Chinese province known for its role in revolutionary history, rich cultural heritage, and scenic landscapes such as the Huangshan (Yellow Mountain) range.
  • B. Jiangsu
    Jiangsu is a populous and economically significant coastal province in eastern China, known for its rich history, dense urbanization, and major cities such as Nanjing and Suzhou.
  • C. northern Anhui Province
    Northern Anhui Province is a region in eastern China that forms part of the Central Plains cultural and linguistic area.
  • D. southern Anhui
    Southern Anhui is a mountainous region in eastern China known for its historic Huizhou culture, traditional architecture, and scenic landscapes including parts of the Huangshan (Yellow Mountain) area.
  • E. Jiangxi Province
    Jiangxi Province is an inland province in southeastern China known for its rich revolutionary history, porcelain production in Jingdezhen, and scenic landscapes such as Lushan Mountain and Poyang Lake.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e838e881908b650194c9b94886 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a08ac8819098e7094ee5ce4ed5 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:23 a.m.