Triple
T17514871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cửu Long region |
E426541
|
entity |
| Predicate | hasProvince |
P285
|
FINISHED |
| Object | Tiền Giang |
—
|
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 | Statement: [Cửu Long region, hasProvince, Tiền Giang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiền Giang Context triple: [Cửu Long region, hasProvince, Tiền Giang]
-
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.
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.
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.
-
D.
Bến Tre
Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
-
E.
Vĩnh Long
Vĩnh Long is a city and province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
- 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.