Triple

T5455202
Position Surface form Disambiguated ID Type / Status
Subject Premier of the Republic of China E122461 entity
Predicate officeHolders P9949 FINISHED
Object Yen Chia-kan E205441 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: Yen Chia-kan | Statement: [Premier of the Republic of China, officeHolders, Yen Chia-kan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yen Chia-kan
Context triple: [Premier of the Republic of China, officeHolders, Yen Chia-kan]
  • A. Yen Chia-kan chosen
    Yen Chia-kan was a Taiwanese politician who served as President of the Republic of China in the 1970s, overseeing a period of political transition following Chiang Kai-shek's death.
  • B. Chang Chun-hsiung
    Chang Chun-hsiung is a Taiwanese politician and lawyer who twice served as premier and was a prominent member of the Democratic Progressive Party.
  • C. Tai Jeng-wu
    Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
  • D. Tsai Chao-chu
    Tsai Chao-chu is the wife of Taiwanese chemist and Nobel laureate Yuan T. Lee.
  • E. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91eeb7ac8190bf2e02f7946bf2bf completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8584123481909d41d83c60ec2561 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 2:08 p.m.