Triple

T17619331
Position Surface form Disambiguated ID Type / Status
Subject Khánh Hòa province E429666 entity
Predicate officialLanguage P236 FINISHED
Object Vietnamese NE NERFINISHED

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: Vietnamese | Statement: [Khánh Hòa province, officialLanguage, Vietnamese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnamese
Context triple: [Khánh Hòa province, officialLanguage, Vietnamese]
  • A. Vietnamese chosen
    Vietnamese refers to the people, language, and culture associated with Vietnam, a Southeast Asian country with a rich history and distinct cultural traditions.
  • B. Middle Vietnamese
    Middle Vietnamese is the historical stage of the Vietnamese language used roughly between the 16th and 18th centuries, documented in early romanized texts and crucial for understanding the development of modern Vietnamese phonology and vocabulary.
  • C. VN
    VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
  • D. VN
    VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
  • E. Viet
    Viet refers to the ethnic Vietnamese people, the majority ethnic group of Vietnam with a distinct language and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.