Triple

T17038154
Position Surface form Disambiguated ID Type / Status
Subject Genting Snow Park E413373 entity
Predicate near P350 FINISHED
Object Chongli town E422732 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: Chongli town | Statement: [Genting Snow Park, near, Chongli town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chongli town
Context triple: [Genting Snow Park, near, Chongli town]
  • A. Chongli District chosen
    Chongli District is a mountainous area in Zhangjiakou, Hebei, China, known as a major winter sports hub and a key venue region for the Beijing 2022 Winter Olympics.
  • B. Zhangjiakou
    Zhangjiakou is a major city in northern China known as a key gateway between Beijing and Inner Mongolia and as one of the host locations for the 2022 Winter Olympics.
  • C. Changli County
    Changli County is an administrative county under the jurisdiction of Qinhuangdao City in Hebei Province, China, known for its agriculture and wine production.
  • D. Chengde
    Chengde is a historic city in northeastern China best known for its Qing dynasty Mountain Resort, a vast imperial summer retreat and UNESCO World Heritage Site.
  • E. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413cc6f08190ae83a0c98fb96b90 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:33 a.m.