Triple

T28885704
Position Surface form Disambiguated ID Type / Status
Subject Khánh E732553 entity
Predicate hasTypicalNameOrderInVietnamese P154571 FINISHED
Object family name + middle name + Khánh LITERAL 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: family name + middle name + Khánh | Statement: [Khánh, hasTypicalNameOrderInVietnamese, family name + middle name + Khánh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalNameOrderInVietnamese
Context triple: [Khánh, hasTypicalNameOrderInVietnamese, family name + middle name + Khánh]
  • A. nameOrderInVietnamese chosen
    Indicates the conventional ordering of a person's name components when written or spoken in Vietnamese.
  • B. nameInVietnamese
    Indicates that one entity is the Vietnamese-language name or designation of another entity.
  • C. nameOrderInChinese
    Indicates that the entities are arranged in the order that personal names are written or spoken in Chinese (family name first, given name second).
  • D. hasNameOrder
    Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
  • E. hasVietnameseReading
    Indicates that an entity is associated with a specific reading or pronunciation in the Vietnamese language.
  • F. None of above.

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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: April 28, 2026, 7:50 a.m.