Triple

T1243305
Position Surface form Disambiguated ID Type / Status
Subject SAIC-GM-Wuling Automobile E26706 entity
Predicate headquartersLocation P62 FINISHED
Object Liuzhou E25569 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: Liuzhou | Statement: [SAIC-GM-Wuling Automobile, headquartersLocation, Liuzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liuzhou
Context triple: [SAIC-GM-Wuling Automobile, headquartersLocation, Liuzhou]
  • A. Huizhou
    Huizhou is a historic cultural and commercial region in southeastern China, famed for its distinctive Huizhou architecture, merchant culture, and influential role in the development of Huizhou (Xin'an) Neo-Confucianism.
  • B. Liuzhou, Guangxi, China chosen
    Liuzhou is an industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its major automotive manufacturing sector and role as a regional transportation hub.
  • C. Huangshi
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • D. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • E. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c186fc8190a353c8f0a90ce273 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.