Triple

T15642607
Position Surface form Disambiguated ID Type / Status
Subject Shifen Waterfall E376103 entity
Predicate locatedNear P294 FINISHED
Object Shifen
Shifen is a historic town in Taiwan’s Pingxi District, best known for its old railway line, sky lantern traditions, and proximity to scenic waterfalls and natural landscapes.
 E1170376 NE FINISHED

How this triple was built (4 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: Shifen | Statement: [Shifen Waterfall, locatedNear, Shifen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shifen
Context triple: [Shifen Waterfall, locatedNear, Shifen]
  • A. Zhanshan
    Zhanshan is a Chinese given name that can be borne by individuals such as Zhu Zhanshan.
  • B. Jinguashi
    Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
  • C. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • D. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • E. Zhuzihu
    Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shifen
Triple: [Shifen Waterfall, locatedNear, Shifen]
Generated description
Shifen is a historic town in Taiwan’s Pingxi District, best known for its old railway line, sky lantern traditions, and proximity to scenic waterfalls and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shifen
Target entity description: Shifen is a historic town in Taiwan’s Pingxi District, best known for its old railway line, sky lantern traditions, and proximity to scenic waterfalls and natural landscapes.
  • A. Zhanshan
    Zhanshan is a Chinese given name that can be borne by individuals such as Zhu Zhanshan.
  • B. Jinguashi
    Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
  • C. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • D. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • E. Zhuzihu
    Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
  • F. None of above. chosen

Provenance (5 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed23d688190bea996f90989d406 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6790f2288190add8ab0bc0f114bf completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6bc27ef481908f5125ab553b5015 completed May 9, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69ff6c214c7881908ac483dbb8d08f29 completed May 9, 2026, 5:17 p.m.
Created at: April 10, 2026, 4:15 a.m.