Triple

T13823220
Position Surface form Disambiguated ID Type / Status
Subject 中和殿 E332185 entity
Predicate district P2709 FINISHED
Object 东城区 E49277 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: 东城区 | Statement: [中和殿, district, 东城区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 东城区
Context triple: [中和殿, district, 东城区]
  • A. 西城区
    西城区是中国北京市中心的一个重要城区，以其丰富的历史文化遗产和众多政府机关、金融机构的集中分布而著称。
  • B. 石景山区
    石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
  • C. 东区
    东区是韩国蔚山广域市的一个行政区，以工业设施与港口经济为主。
  • D. 上京区
    上京区 is a central ward of Kyoto, Japan, known for its historic temples, traditional townscapes, and cultural landmarks including parts of the Kyoto Imperial Palace area.
  • E. Dongcheng District, Beijing chosen
    Dongcheng District, Beijing is a central urban district of China's capital city that encompasses many of its most important political, historical, and cultural landmarks, including Tiananmen Square and the Forbidden City.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.