Triple

T22110156
Position Surface form Disambiguated ID Type / Status
Subject SIP E546390 entity
Predicate usedForWritingSystems P83803 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: [SIP, usedForWritingSystems, Vietnamese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnamese
Context triple: [SIP, usedForWritingSystems, 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12948c2ec819083340787b2062649 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:30 p.m.