Triple

T14570442
Position Surface form Disambiguated ID Type / Status
Subject 国务院秘书长 E341896 entity
Predicate officeLocation P40 FINISHED
Object 中南海 E318834 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: 中南海 | Statement: [国务院秘书长, officeLocation, 中南海]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中南海
Context triple: [国务院秘书长, officeLocation, 中南海]
  • A. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • B. Zhongnanhai leadership compound chosen
    The Zhongnanhai leadership compound is a heavily guarded central government complex in Beijing that serves as the headquarters and residence for China’s top Communist Party and state leaders.
  • C. Xinan Guanhua
    Xinan Guanhua is a major regional variety of Mandarin Chinese spoken across much of southwestern China, including provinces such as Sichuan, Yunnan, and Guizhou.
  • D. Gongqingtuan
    Gongqingtuan is the youth wing of the Chinese Communist Party, responsible for engaging and organizing young people in political education and social activities in China.
  • E. Beijing Municipal Administrative Center
    The Beijing Municipal Administrative Center is the relocated seat of Beijing’s municipal government, developed as a modern political and administrative hub in the city’s Tongzhou District.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.