Triple

T5690480
Position Surface form Disambiguated ID Type / Status
Subject Taishanese E125416 entity
Predicate hasAlternativeName P39 FINISHED
Object Toisanese
Toisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, historically influential among early Chinese diaspora communities in North America.
E541864 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: Toisanese | Statement: [Taishanese, hasAlternativeName, Toisanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toisanese
Context triple: [Taishanese, hasAlternativeName, Toisanese]
  • A. Loxian
    Loxian is a fictional constructed language created by Enya and her collaborators, used in some of her songs to evoke a mystical, otherworldly atmosphere.
  • B. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • C. Shyriiwook
    Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
  • D. Zetan
    Zetan is the given name of Mao Zetan, a Chinese revolutionary and younger brother of Mao Zedong.
  • E. Sontarans
    The Sontarans are a militaristic, clone-based alien race from the Doctor Who universe, obsessed with warfare and honor and frequently serving as recurring antagonists to the Doctor.
  • 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: Toisanese
Triple: [Taishanese, hasAlternativeName, Toisanese]
Generated description
Toisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, historically influential among early Chinese diaspora communities in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toisanese
Target entity description: Toisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, historically influential among early Chinese diaspora communities in North America.
  • A. Loxian
    Loxian is a fictional constructed language created by Enya and her collaborators, used in some of her songs to evoke a mystical, otherworldly atmosphere.
  • B. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • C. Shyriiwook
    Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
  • D. Zetan
    Zetan is the given name of Mao Zetan, a Chinese revolutionary and younger brother of Mao Zedong.
  • E. Sontarans
    The Sontarans are a militaristic, clone-based alien race from the Doctor Who universe, obsessed with warfare and honor and frequently serving as recurring antagonists to the Doctor.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e340a08190b6175fad3e9a32b6 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a47457c8190bc75f11a7f011a8a completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05dc222e88190a1d715392ae24f08 completed March 22, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:44 p.m.