Triple

T21028092
Position Surface form Disambiguated ID Type / Status
Subject Xining Basin E517992 entity
Predicate contains P35 FINISHED
Object city of Xining 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: city of Xining | Statement: [Xining Basin, contains, city of Xining]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Xining
Context triple: [Xining Basin, contains, city of Xining]
  • A. Xining chosen
    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.
  • B. Golmud
    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.
  • C. 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.
  • D. Longnan City
    Longnan City is a prefecture-level city in southern Gansu Province, China, known for its mountainous terrain, river valleys, and position as a gateway between northwest and southwest China.
  • E. Hezhou (Linxia City)
    Hezhou (Linxia City) is a county-level city in Gansu Province, China, known for its ethnically diverse population and strong presence of Muslim minority groups.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7efda081909a4de1c389166bf2 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.