Triple

T304641
Position Surface form Disambiguated ID Type / Status
Subject Chinese Indonesians E6270 entity
Predicate languageUsed P238 FINISHED
Object Hokkien
Hokkien is a Southern Min Chinese language variety widely spoken by Chinese communities in Southeast Asia and Taiwan, known for its distinct phonology and rich regional dialects.
 E34449 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: Hokkien | Statement: [Chinese Indonesians, languageUsed, Hokkien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hokkien
Context triple: [Chinese Indonesians, languageUsed, Hokkien]
  • A. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • B. Hakka
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • C. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • D. Higashi Shina Kai
    Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Hokkien
Triple: [Chinese Indonesians, languageUsed, Hokkien]
Generated description
Hokkien is a Southern Min Chinese language variety widely spoken by Chinese communities in Southeast Asia and Taiwan, known for its distinct phonology and rich regional dialects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hokkien
Target entity description: Hokkien is a Southern Min Chinese language variety widely spoken by Chinese communities in Southeast Asia and Taiwan, known for its distinct phonology and rich regional dialects.
  • A. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • B. Hakka chosen
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • C. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • D. Higashi Shina Kai
    Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b07566c88190af82b1953902b613 completed March 1, 2026, 3:20 a.m.
NEDg Description generation batch_69a3b0d63cd081908a8e1ce6e24b7a8f completed March 1, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a3b13a9cdc81908b2f125f8ddede8f completed March 1, 2026, 3:23 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.