Triple

T22401034
Position Surface form Disambiguated ID Type / Status
Subject Korla–Golmud Railway E553758 entity
Predicate connectsCity P4245 FINISHED
Object Golmud City 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: Golmud City | Statement: [Korla–Golmud Railway, connectsCity, Golmud City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golmud City
Context triple: [Korla–Golmud Railway, connectsCity, Golmud City]
  • A. Golmud chosen
    Golmud is a major industrial and transportation hub city in western China, located on the Qinghai-Tibet Plateau and serving as a key gateway to Tibet.
  • B. 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.
  • C. Haidong
    Haidong is a prefecture-level city in eastern Qinghai Province, China, known as a key transportation and agricultural hub in the upper reaches of the Yellow River region.
  • D. Yumen City
    Yumen City is a county-level city in Gansu Province, China, historically known as an important stop along the ancient Silk Road and for its oil industry.
  • E. Zhangye
    Zhangye is a historic city in northwestern China, known for its location on the ancient Silk Road and its colorful Danxia landform landscapes.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b39c908190a735aa860d733869 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.