Triple
T301396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi |
E6204
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | VN |
E4138
|
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: VN | Statement: [Hanoi, countryCode, VN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VN Context triple: [Hanoi, countryCode, VN]
-
A.
Vietnamese
Vietnamese refers to the people, language, and culture associated with Vietnam, a Southeast Asian country with a rich history and distinct cultural traditions.
-
B.
Viet Nam
chosen
Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
-
C.
Vietnamese đồng
The Vietnamese đồng is the official fiat currency of Vietnam, known for its relatively low value per unit and frequent use of large denominations.
-
D.
VNM
VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
-
E.
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.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3aba2b38c8190b841014b24e14822 |
completed | March 1, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.