Triple

T12661109
Position Surface form Disambiguated ID Type / Status
Subject Yandang Mountains E302425 entity
Predicate hasPart P35 FINISHED
Object Middle Yandang
Middle Yandang is a scenic subregion of China’s Yandang Mountains, known for its dramatic peaks, cliffs, and natural landscapes.
 E302425 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: Middle Yandang | Statement: [Yandang Mountains, hasPart, Middle Yandang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Middle Yandang
Context triple: [Yandang Mountains, hasPart, Middle Yandang]
  • A. Yandang Mountains
    The Yandang Mountains are a renowned scenic mountain range in eastern China celebrated for their dramatic cliffs, waterfalls, and rich biodiversity.
  • B. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • C. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • D. Gaotangling
    Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
  • E. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • 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: Middle Yandang
Triple: [Yandang Mountains, hasPart, Middle Yandang]
Generated description
Middle Yandang is a scenic subregion of China’s Yandang Mountains, known for its dramatic peaks, cliffs, and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Middle Yandang
Target entity description: Middle Yandang is a scenic subregion of China’s Yandang Mountains, known for its dramatic peaks, cliffs, and natural landscapes.
  • A. Yandang Mountains chosen
    The Yandang Mountains are a renowned scenic mountain range in eastern China celebrated for their dramatic cliffs, waterfalls, and rich biodiversity.
  • B. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • C. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • D. Gaotangling
    Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
  • E. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • F. None of above.

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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719de0908190bbc9a98e67e5b6eb completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67323a724819092425cdb3a070b96 completed May 2, 2026, 9:56 p.m.
Created at: April 9, 2026, 5:19 p.m.