Triple

T10499223
Position Surface form Disambiguated ID Type / Status
Subject Dongcheng District, Beijing E247622 entity
Predicate hasChineseName P4878 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: [Dongcheng District, Beijing, hasChineseName, 东城区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 东城区
Context triple: [Dongcheng District, Beijing, hasChineseName, 东城区]
  • A. 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。
  • B. 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.
  • C. 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.
  • D. Daxing District
    Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
  • E. 卢湾区
    卢湾区 was a former central district of Shanghai, China, known for its historic architecture, commercial streets, and role as part of the city’s traditional urban core before being merged into Huangpu 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098e45ec8190a02b981a06786909 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcc5816c8190a6a3927797942266 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:25 p.m.