Triple

T1695671
Position Surface form Disambiguated ID Type / Status
Subject Shaanxi Province E36651 entity
Predicate hasMajorCity P316 FINISHED
Object Xianyang E157600 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: Xianyang | Statement: [Shaanxi Province, hasMajorCity, Xianyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianyang
Context triple: [Shaanxi Province, hasMajorCity, Xianyang]
  • A. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • B. Xianyang, China chosen
    Xianyang is a historic city in Shaanxi Province, China, known as the former capital of the Qin dynasty and located near the modern metropolis of Xi’an.
  • C. Yan'an
    Yan'an is a historic city in China's Shaanxi province that served as the Chinese Communist Party's revolutionary base and political center during the late 1930s and 1940s.
  • D. Chang'an
    Chang'an was the ancient capital of several Chinese dynasties and a major political, cultural, and trade center along the Silk Road.
  • E. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aaf7a008190bf7e5808838c6c2b completed March 8, 2026, 11:47 p.m.
Created at: March 4, 2026, 7:30 p.m.