Triple
T2073231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mê Linh District |
E44862
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Vĩnh Tường District |
E276244
|
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: Vĩnh Tường District | Statement: [Mê Linh District, borderedBy, Vĩnh Tường District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vĩnh Tường District Context triple: [Mê Linh District, borderedBy, Vĩnh Tường District]
-
A.
Vinh Thanh District
Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
-
B.
Ba Vì District
Ba Vì District is a rural district on the western outskirts of Hanoi, Vietnam, known for its mountainous landscapes, Ba Vì National Park, and cultural sites.
-
C.
Binh Thuy District
Binh Thuy District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its historic architecture and riverside landscapes.
-
D.
Yên Lạc District
chosen
Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
-
E.
Cau Giay District
Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba101c008190840763d2f28fa8d7 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af8342b7688190a626b4f5d3b3807d |
completed | March 10, 2026, 2:34 a.m. |
Created at: March 4, 2026, 7:41 p.m.