Triple

T17111589
Position Surface form Disambiguated ID Type / Status
Subject Zheng Chenggong E415238 entity
Predicate deathPlace P21 FINISHED
Object Tainan, Taiwan NE NERFINISHED

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: Tainan, Taiwan | Statement: [Zheng Chenggong, deathPlace, Tainan, Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tainan, Taiwan
Context triple: [Zheng Chenggong, deathPlace, Tainan, Taiwan]
  • A. Taipei, Taiwan
    Taipei, Taiwan is the capital and largest city of Taiwan, known as a major political, economic, and cultural center in East Asia.
  • B. Chiayi City, Taiwan
    Chiayi City, Taiwan, is a historic city in southwestern Taiwan known as a gateway to Alishan and for its rich cultural heritage and traditional night markets.
  • C. Tainan chosen
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • D. Hsinchu, Taiwan
    Hsinchu, Taiwan is a major high-tech city often called Taiwan’s “Silicon Valley,” known for its science park and concentration of semiconductor and electronics companies.
  • E. Changhua, Taiwan
    Changhua is a historic city and county seat in central Taiwan, known for its rich cultural heritage, traditional temples, and the famous Great Buddha statue on Baguashan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.