Triple
T19660509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phú Lộc District |
E472066
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Nam Đông District |
—
|
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: Nam Đông District | Statement: [Phú Lộc District, borders, Nam Đông District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam Đông District Context triple: [Phú Lộc District, borders, Nam Đông District]
-
A.
Nam Đông District
chosen
Nam Đông District is a rural administrative district located in central Vietnam’s Thừa Thiên Huế province, known for its mountainous terrain and ethnic minority communities.
-
B.
An Thi District
An Thi District is an administrative rural district located within Hưng Yên Province in northern Vietnam.
-
C.
Ly Nhan District
Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
-
D.
Bao Yen District
Bao Yen District is a rural administrative district located in Lào Cai Province in the mountainous northwestern region of Vietnam.
-
E.
Thanh Oai District
Thanh Oai District is a suburban administrative district of Hanoi, Vietnam, known for its traditional craft villages and rapidly urbanizing rural landscape.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.