Triple

T453303
Position Surface form Disambiguated ID Type / Status
Subject Standard Chinese E7177 entity
Predicate alsoKnownAs P39 FINISHED
Object Huayu
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
 E57598 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: Huayu | Statement: [Standard Chinese, alsoKnownAs, Huayu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huayu
Context triple: [Standard Chinese, alsoKnownAs, Huayu]
  • A. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Luo
    Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
  • D. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • E. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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: Huayu
Triple: [Standard Chinese, alsoKnownAs, Huayu]
Generated description
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huayu
Target entity description: Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • A. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Luo
    Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
  • D. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • E. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef866e848190a5b700250ec56256 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f555b988190b3c060261dc811df completed March 1, 2026, 2:38 p.m.
NEDg Description generation batch_69a450ad886081909e420a0a3d94c8fe completed March 1, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69a4510bc2e881908c724599fc2a21c6 completed March 1, 2026, 2:45 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.