Triple

T9156862
Position Surface form Disambiguated ID Type / Status
Subject CNY E219726 entity
Predicate notUsedIn P7974 FINISHED
Object Macau SAR E7092 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: Macau SAR | Statement: [CNY, notUsedIn, Macau SAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macau SAR
Context triple: [CNY, notUsedIn, Macau SAR]
  • A. Macau chosen
    Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
  • B. Macau
    Macau is a coastal municipality in the Brazilian state of Rio Grande do Norte, known for its salt production and fishing activities.
  • C. Hong Kong, China
    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.
  • D. Magong
    Magong is the main urban center and largest city of Taiwan’s Penghu (Pescadores) archipelago, serving as its political, economic, and transportation hub.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d4a6e48190a55dc35a399f5f08 completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c00daa48190ad68c88479478129 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:21 p.m.