Triple
T365851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian American |
E7957
|
entity |
| Predicate | languageUsed |
P238
|
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: [Asian American, languageUsed, Vietnamese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vietnamese Context triple: [Asian American, languageUsed, 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.
Vietnamese alphabet
The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
-
C.
Viet Nam
Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
-
D.
Mon-Khmer
Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
-
E.
Khmer
Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe7d4d0819083daeb7686ae1914 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e8668b848190b68d19819ac134df |
completed | March 1, 2026, 7:19 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.