Triple
T15412633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinh Phuc Province |
E368631
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Vinh Yen |
E1156922
|
NE FINISHED |
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: Vinh Yen | Statement: [Vinh Phuc Province, hasCity, Vinh Yen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinh Yen Context triple: [Vinh Phuc Province, hasCity, Vinh Yen]
-
A.
Vinh Yen
chosen
Vinh Yen is an urban center in northern Vietnam that serves as the administrative, economic, and cultural hub of Vinh Phuc Province.
-
B.
Cao Lanh
Cao Lanh is a city in Vietnam’s Mekong Delta region known as an administrative, commercial, and cultural hub of Dong Thap Province.
-
C.
Hai Duong
Hai Duong is a provincial city in northern Vietnam known as an important industrial and transportation hub between Hanoi and Hai Phong.
-
D.
Lang Son
Lang Son is a mountainous border city in northeastern Vietnam known as a key trade gateway with China and for its surrounding karst landscapes and historical sites.
-
E.
Lao Bảo
Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219de0f88190a914bfee5dde32c9 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.