Triple

T17532448
Position Surface form Disambiguated ID Type / Status
Subject Northern Zhou E426969 entity
Predicate region P40 FINISHED
Object Shaanxi 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: Shaanxi | Statement: [Northern Zhou, region, Shaanxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaanxi
Context triple: [Northern Zhou, region, Shaanxi]
  • A. Shaanxi Province chosen
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • B. Yang Province
    Yang Province was an ancient administrative region in southeastern China that encompassed parts of modern Jiangsu, Anhui, and surrounding areas during the Han and Three Kingdoms periods.
  • C. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • D. Gansu Province
    Gansu Province is a north-central Chinese region historically significant as a Silk Road corridor and home to long stretches of the Great Wall and diverse desert and mountain landscapes.
  • E. northern Shaanxi
    Northern Shaanxi is a largely rural, historically significant region in the north of China’s Shaanxi Province, known for its loess plateau landscapes, revolutionary heritage, and coal and energy resources.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453695734819092d4dcbab4a4fa01 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.