Triple
T18011597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phong Điền district |
E430895
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Cần Thơ |
—
|
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: Cần Thơ | Statement: [Phong Điền district, countrySubdivision, Cần Thơ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cần Thơ Context triple: [Phong Điền district, countrySubdivision, Cần Thơ]
-
A.
Cần Thơ
chosen
Cần Thơ is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region.
-
B.
Mỹ Tho
Mỹ Tho is a city in southern Vietnam’s Mekong Delta, known as a historic river port and a popular gateway for boat tours among the region’s islands and canals.
-
C.
My Tho City
My Tho City is a major urban and economic center in Vietnam’s Mekong Delta, known for its riverfront setting and role as a gateway to the region’s canal and island tourism.
-
D.
Ca Mau City
Ca Mau City is a southern Vietnamese urban center known as the country’s southernmost city and a regional hub for fishing, agriculture, and trade in the Mekong Delta.
-
E.
Bến Tre
Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51fc108819089e6c130a89811bc |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.