Triple

T13302601
Position Surface form Disambiguated ID Type / Status
Subject Taiyuan South Railway Station E316849 entity
Predicate connectsTo P845 FINISHED
Object Xi’an (via high-speed network) 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 (via high-speed network) | Statement: [Taiyuan South Railway Station, connectsTo, Xi’an (via high-speed network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xi’an (via high-speed network)
Context triple: [Taiyuan South Railway Station, connectsTo, Xi’an (via high-speed network)]
  • A. X’ian, China
    Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
  • B. Xi An'an
    Xi An'an is a member of the prominent Xi political family in China and a daughter of revolutionary leader Xi Zhongxun.
  • C. 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.
  • D. 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.
  • E. Xi'an Metro
    Xi'an Metro is the rapid transit system serving the city of Xi'an, China, providing urban rail transportation across the metropolitan area.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716df8c2c8190bd17b47848546271 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.