Triple
T9317994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đồng Nai River |
E224170
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Sài Gòn River |
E41500
|
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: Sài Gòn River | Statement: [Đồng Nai River, hasTributary, Sài Gòn River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sài Gòn River Context triple: [Đồng Nai River, hasTributary, Sài Gòn River]
-
A.
Saigon River
chosen
The Saigon River is a major waterway in southern Vietnam that flows through Ho Chi Minh City and serves as an important route for transport, trade, and urban life.
-
B.
Dong Nai River
The Đồng Nai River is a major river in southern Vietnam that flows through several provinces and plays a crucial role in the region’s ecology, agriculture, and hydropower production.
-
C.
Thai Binh River
The Thai Binh River is a major river in northern Vietnam that, together with the Red River, helps shape the fertile Red River Delta region.
-
D.
Tam Diep
Tam Diep is a town in northern Vietnam known for its location in Ninh Binh Province and its role as a local administrative and commercial center.
-
E.
Kien Giang River
Kien Giang River is a river in Quang Binh Province, Vietnam, known for flowing through Le Thuy District and supporting local agriculture and transportation.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190bef8548190a058e6014ff6690c |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 7:38 p.m.