Triple

T17141058
Position Surface form Disambiguated ID Type / Status
Subject 陳慧琳 E415962 entity
Predicate nationality P2 FINISHED
Object 中國香港 E8492 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: 中國香港 | Statement: [陳慧琳, nationality, 中國香港]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中國香港
Context triple: [陳慧琳, nationality, 中國香港]
  • A. 中華民國(臺灣)
    中華民國(臺灣)是以臺灣本島為核心、實行民主制度並在東亞具有重要經濟與科技影響力的政體。
  • B. Hong Kong, China chosen
    Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
  • C. China Hong Kong City
    China Hong Kong City is a large mixed-use complex in Tsim Sha Tsui, Hong Kong, featuring a ferry terminal, shopping mall, offices, and a hotel.
  • D. Ho Ching (Taiwan)
    Ho Ching is a Taiwanese public figure who served as the First Lady of the Republic of China (Taiwan), playing a prominent ceremonial and social role alongside the president.
  • E. Taiwan, Province of China
    Taiwan, Province of China is a self-governed island territory in East Asia known for its advanced economy, vibrant democracy, and complex political status in relation to the People's Republic of China.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d44a508190a3a149c3a64957f5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483158348190abb96b36caaf455a completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.