Triple
T22847009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đắk Nông Province |
E566249
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Gia Nghĩa |
—
|
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: Gia Nghĩa | Statement: [Đắk Nông Province, capital, Gia Nghĩa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gia Nghĩa Context triple: [Đắk Nông Province, capital, Gia Nghĩa]
-
A.
Gia Nghĩa
chosen
Gia Nghĩa is a city in Vietnam’s Central Highlands region, serving as the provincial capital of Đắk Nông and a growing regional urban center.
-
B.
Bảo Lộc
Bảo Lộc is a city in Vietnam’s Central Highlands known for its tea and coffee plantations and cool, misty climate.
-
C.
Da Lat
Da Lat is a cool, mountainous resort city in Vietnam’s Central Highlands, famed for its pine forests, colonial-era architecture, and flower gardens.
-
D.
Cao Bang City
Cao Bang City is a small provincial capital in northern Vietnam known as a gateway to historic revolutionary sites and scenic mountainous landscapes near the Chinese border.
-
E.
Sa Pa
Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.