Triple
T15183575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sông Hồng |
E362809
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Sông Chảy |
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: Sông Chảy | Statement: [Sông Hồng, hasTributary, Sông Chảy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sông Chảy Context triple: [Sông Hồng, hasTributary, Sông Chảy]
-
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.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
C.
You River
The You River is a tributary waterway in southern China that feeds into the larger Yuan 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.
Sayong River
The Sayong River is a smaller waterway in the Malaysian state of Johor that feeds into and helps drain the larger Johor River basin.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.