Triple

T21028061
Position Surface form Disambiguated ID Type / Status
Subject Haidong E517991 entity
Predicate borders P224 FINISHED
Object 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: Xining | Statement: [Haidong, borders, Xining]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xining
Context triple: [Haidong, borders, 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. 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.
  • 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. 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.
  • E. 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.
  • 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.