Triple

T8668562
Position Surface form Disambiguated ID Type / Status
Subject Quan Hoa Ward E205736 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Vietnamese E27842 NE 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: Vietnamese | Statement: [Quan Hoa Ward, hasOfficialLanguage, Vietnamese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnamese
Context triple: [Quan Hoa Ward, hasOfficialLanguage, 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 (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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a48b548190b78259072b1224ee completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.