Triple

T20170381
Position Surface form Disambiguated ID Type / Status
Subject Snow Town (China Snow Town) E491942 entity
Predicate alsoKnownAs P39 FINISHED
Object Xuexiang
Xuexiang is a famous winter tourist village in northeastern China known for its heavy snowfall, picturesque snow-covered landscapes, and traditional wooden houses.
 E1415342 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: Xuexiang | Statement: [Snow Town (China Snow Town), alsoKnownAs, Xuexiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xuexiang
Context triple: [Snow Town (China Snow Town), alsoKnownAs, Xuexiang]
  • A. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • D. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • E. Xianghua
    Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
  • 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: Xuexiang
Triple: [Snow Town (China Snow Town), alsoKnownAs, Xuexiang]
Generated description
Xuexiang is a famous winter tourist village in northeastern China known for its heavy snowfall, picturesque snow-covered landscapes, and traditional wooden houses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xuexiang
Target entity description: Xuexiang is a famous winter tourist village in northeastern China known for its heavy snowfall, picturesque snow-covered landscapes, and traditional wooden houses.
  • A. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • B. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • E. Xianghua
    Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66847ed9481908e6b23b399fa7005 completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083484eaa4819083462003ba5a78b0 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a083851ccf081909de87d5070e969f9 completed May 16, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0838c3694c819097516c8de60864fb completed May 16, 2026, 9:28 a.m.
Created at: April 11, 2026, 11:35 p.m.