Triple
T9588281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi Đông |
E231347
|
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: [Chi Đông, hasOfficialLanguage, Vietnamese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vietnamese Context triple: [Chi Đông, 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f01ca08190afaa44645a58e918 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161880adc819090a9be75ba2a1642 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.