Triple

T18969076
Position Surface form Disambiguated ID Type / Status
Subject Western Xia mausoleums E464117 entity
Predicate nearestCity P350 FINISHED
Object Yinchuan 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: Yinchuan | Statement: [Western Xia mausoleums, nearestCity, Yinchuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yinchuan
Context triple: [Western Xia mausoleums, nearestCity, Yinchuan]
  • A. Yinchuan chosen
    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.
  • B. Lanzhou
    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.
  • C. Yining
    Yining is a city in the Ili Kazakh Autonomous Prefecture of far northwestern China, known for its diverse ethnic population and role as a regional trade and cultural center.
  • D. Zhongwei
    Zhongwei is a prefecture-level city in central China known for its desert landscapes, tourism along the Yellow River, and location within the Ningxia Hui Autonomous Region.
  • E. 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.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d618e2ec8190848a41733e6db2f1 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon