Triple

T17666902
Position Surface form Disambiguated ID Type / Status
Subject Chongzuo E440405 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object 桂F 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: 桂F | Statement: [Chongzuo, vehicleRegistrationCode, 桂F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 桂F
Context triple: [Chongzuo, vehicleRegistrationCode, 桂F]
  • A. Guangxi Province
    Guangxi Province is an autonomous region in southern China known for its ethnically diverse population, karst landscapes, and strategic location bordering Vietnam.
  • B. Guangxi Transport Department
    The Guangxi Transport Department is the regional government agency responsible for planning, regulating, and managing transportation infrastructure and services within the Guangxi Zhuang Autonomous Region of China.
  • C. Liuzhou chosen
    Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
  • D. Liangxi District
    Liangxi District is a central urban district of Wuxi in Jiangsu Province, China, known as one of the city’s key commercial and administrative areas.
  • E. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46eaaaec8819086977d8a5210c44e completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:57 a.m.