Triple
T18010045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bến Tre |
E430853
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Tiền Giang province |
—
|
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: Tiền Giang province | Statement: [Bến Tre, borders, Tiền Giang province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiền Giang province Context triple: [Bến Tre, borders, Tiền Giang province]
-
A.
Tiền Giang
chosen
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.
-
B.
Sông Bé Province
Sông Bé Province was a former province in southern Vietnam that was later divided into Bình Dương and Bình Phước provinces.
-
C.
Long An Province
Long An Province is a largely agricultural region in southern Vietnam that serves as a gateway between Ho Chi Minh City and the wider Mekong Delta.
-
D.
Hậu Giang
Hậu Giang is a province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and tropical fruit cultivation.
-
E.
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.
- 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_69e4b51f0a488190bd34e1f9039f4dc9 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.