Triple

T21812525
Position Surface form Disambiguated ID Type / Status
Subject World Trade Organization member states E538512 entity
Predicate includes P1393 FINISHED
Object Macao, China 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: Macao, China | Statement: [World Trade Organization member states, includes, Macao, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macao, China
Context triple: [World Trade Organization member states, includes, Macao, China]
  • 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. Taipa
    Taipa is a small coastal settlement in New Zealand’s Far North District, known for its sandy beaches and role as a holiday and fishing destination.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc7ec1c8190a5420b44a49ae32f completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bc044948190bdd2560261569c4c completed May 17, 2026, 11:14 p.m.
Created at: April 16, 2026, 6:53 p.m.