Triple

T14996616
Position Surface form Disambiguated ID Type / Status
Subject Gaolan County E373973 entity
Predicate partOf P40 FINISHED
Object Lanzhou City E76473 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: Lanzhou City | Statement: [Gaolan County, partOf, Lanzhou City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanzhou City
Context triple: [Gaolan County, partOf, Lanzhou City]
  • A. Lanzhou chosen
    Lanzhou is a major city in northwestern China and the capital of Gansu Province, known historically as a key hub on the ancient Silk Road.
  • B. Yinchuan
    Yinchuan is the capital and largest city of the Ningxia Hui Autonomous Region in north-central China, known for its historical Silk Road significance and rapidly developing economy.
  • C. Tianshui
    Tianshui is a historic city in eastern Gansu Province, China, known as an important stop on the ancient Silk Road and for its nearby Maijishan Grottoes.
  • D. Baiyin City
    Baiyin City is a prefecture-level city in central Gansu Province, China, historically known for its mining industry and location along the upper Yellow River.
  • E. Xining
    Xining is the capital and largest city of Qinghai Province in western China, known as a key hub on the Tibetan Plateau and a historic gateway between Han Chinese and Tibetan regions.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2046348190bcf8660bf3825b8f completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 2:53 a.m.