Triple
T9444336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ba Vì National Park |
E227724
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Đà River |
E758511
|
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: Đà River | Statement: [Ba Vì National Park, near, Đà River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Đà River Context triple: [Ba Vì National Park, near, Đà River]
-
A.
Đà River
chosen
The Đà River is a major river in northwestern Vietnam, known for feeding the Hòa Bình hydropower plant and contributing significantly to the Red River system.
-
B.
Cea River
The Cea River is a tributary watercourse in northwestern Spain that flows through the provinces of León and Valladolid before joining the Douro River system.
-
C.
Qu River
The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
-
D.
Gianh River
The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
-
E.
Loa River
The Loa River is the longest river in Chile, flowing in a great arc through the Atacama Desert to the Pacific Ocean.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b56fd9cc819089ed17169d313d8b |
completed | April 5, 2026, 7:18 p.m. |
Created at: March 30, 2026, 7:51 p.m.