Triple

T4113059
Position Surface form Disambiguated ID Type / Status
Subject Hengyang–Guilin–Liuzhou rail corridor E90221 entity
Predicate connects P390 FINISHED
Object Guilin E235421 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: Guilin | Statement: [Hengyang–Guilin–Liuzhou rail corridor, connects, Guilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilin
Context triple: [Hengyang–Guilin–Liuzhou rail corridor, connects, Guilin]
  • A. Guilin chosen
    Guilin is a scenic city in southern China’s Guangxi region, famed for its dramatic karst mountains and picturesque Li River landscapes.
  • B. Zhangjiajie
    Zhangjiajie is a scenic city in northwestern Hunan Province, China, famed for its towering sandstone pillars and dramatic national forest park that inspired the floating mountains in the film "Avatar."
  • C. Luyang
    Luyang is a historic name associated with the city of Hefei, the capital of Anhui Province in eastern China.
  • D. Liuzhou
    Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
  • E. Nanning
    Nanning is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a key economic hub and “Green City” in the Lingnan cultural 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01e06ce48190b840d931e44095ea completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8adc748190be7b34ff37ae3618 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.