Triple

T2503052
Position Surface form Disambiguated ID Type / Status
Subject YREB E52510 entity
Predicate keyCity P235 FINISHED
Object Guiyang E188949 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: Guiyang | Statement: [YREB, keyCity, Guiyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiyang
Context triple: [YREB, keyCity, Guiyang]
  • A. Guiyang chosen
    Guiyang is the capital city of Guizhou Province in southwest China, known for its cool climate, karst landscapes, and role as a regional transportation and industrial hub.
  • B. Chongqing
    Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
  • C. Nanning
    Nanning is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a key economic hub and “Green City” in the Lingnan cultural area.
  • D. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • E. Shaoyang
    Shaoyang is a prefecture-level city in south-central China known for its long history, cultural heritage, and location in the southwestern part of Hunan Province.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cb4f6481908d4e0a1dc0d84d3c completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa34dc8819085681d673e45d841 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.