Triple

T17389129
Position Surface form Disambiguated ID Type / Status
Subject Chengguan District E422768 entity
Predicate contains P35 FINISHED
Object Lanzhou city center 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: Lanzhou city center | Statement: [Chengguan District, contains, Lanzhou city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanzhou city center
Context triple: [Chengguan District, contains, Lanzhou city center]
  • 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. Dunhuang City
    Dunhuang City is a county-level city in Gansu Province, China, renowned for its ancient Silk Road heritage and the UNESCO-listed Mogao Caves.
  • 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. Hexi New Town
    Hexi New Town is a modern urban development area in Nanjing, China, known for its high-rise residential complexes, commercial centers, and contemporary city planning.
  • E. 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.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.