Triple

T11324571
Position Surface form Disambiguated ID Type / Status
Subject Kwang-chou E268174 entity
Predicate historicalRomanization P85115 FINISHED
Object Kwangchow E217727 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: Kwangchow | Statement: [Kwang-chou, historicalRomanization, Kwangchow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwangchow
Context triple: [Kwang-chou, historicalRomanization, Kwangchow]
  • A. Shekou
    Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
  • B. Chang-chia-kou
    Chang-chia-kou is the historical Chinese name for Kalgan (now Zhangjiakou), a key city in Hebei province that long served as a strategic gateway between northern China and Inner Mongolia.
  • C. Caizhou
    Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
  • D. Heyuan
    Heyuan is a prefecture-level city in northeastern Guangdong Province, China, known for its Hakka culture, abundant natural scenery, and large reservoir and river systems.
  • E. Zhongshan chosen
    Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d31322d48190aa93b7707ba6fb47 completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:32 p.m.