Triple

T15654221
Position Surface form Disambiguated ID Type / Status
Subject Taichang Emperor E376388 entity
Predicate templeName P44027 FINISHED
Object Taichang E376388 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: Taichang | Statement: [Taichang Emperor, templeName, Taichang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taichang
Context triple: [Taichang Emperor, templeName, Taichang]
  • A. Taichang chosen
    Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
  • B. Zhuzihu
    Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
  • C. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • D. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • E. Zixu
    Zixu is the courtesy name of Wu Zixu, a prominent statesman and military strategist of the late Spring and Autumn period in ancient 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef089948190902ec22f4d7bc932 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6797954c8190ac05ee3db634efa7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.