Triple

T13566030
Position Surface form Disambiguated ID Type / Status
Subject Lan–Yin Mandarin E324036 entity
Predicate hasDialectCenter P30285 FINISHED
Object Lanzhou 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 | Statement: [Lan–Yin Mandarin, hasDialectCenter, Lanzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanzhou
Context triple: [Lan–Yin Mandarin, hasDialectCenter, Lanzhou]
  • 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. 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.
  • E. 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.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:48 p.m.