Triple

T8949511
Position Surface form Disambiguated ID Type / Status
Subject Mount Hua E213308 entity
Predicate locatedEastOf P4240 FINISHED
Object Xi'an E693411 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: Xi'an | Statement: [Mount Hua, locatedEastOf, Xi'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xi'an
Context triple: [Mount Hua, locatedEastOf, Xi'an]
  • A. Xi'an chosen
    Xi'an is a major historic city in central China, famed as the eastern terminus of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang.
  • B. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • C. Chang'an
    Chang'an was the ancient capital of several Chinese dynasties and a major political, cultural, and trade center along the Silk Road.
  • D. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • E. Xianyang, China
    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.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93c678c81909d2ab68308d7c2f0 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:59 p.m.