Triple
T17514864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cửu Long region |
E426541
|
entity |
| Predicate | hasProvince |
P285
|
FINISHED |
| Object | Cà Mau |
—
|
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: Cà Mau | Statement: [Cửu Long region, hasProvince, Cà Mau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cà Mau Context triple: [Cửu Long region, hasProvince, Cà Mau]
-
A.
Dong Thap
Dong Thap is a province in southern Vietnam known for its fertile rice fields, lotus wetlands, and location within the Mekong Delta region.
-
B.
Hậu Giang
Hậu Giang is a province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and tropical fruit cultivation.
-
C.
Ca Mau
chosen
Ca Mau is Vietnam’s southernmost province, known for its extensive mangrove forests, rich fisheries, and the Ca Mau Cape where the country meets the Gulf of Thailand and the South China Sea.
-
D.
Sông Bé Province
Sông Bé Province was a former province in southern Vietnam that was later divided into Bình Dương and Bình Phước provinces.
-
E.
Tiền Giang
Tiền Giang is a province in Vietnam’s Mekong Delta region, known for its extensive river networks, fruit orchards, and the popular tourist city of Mỹ Tho.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.