Triple
T12338343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nha Be District |
E294151
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Saigon 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: Saigon River | Statement: [Nha Be District, traversedBy, Saigon River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saigon River Context triple: [Nha Be District, traversedBy, Saigon 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.
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.
-
C.
Lan River
The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
-
D.
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.
-
E.
Tra Ly River
The Tra Ly River is a significant waterway in northern Vietnam that flows through Thai Binh Province, supporting local agriculture, transportation, and livelihoods.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa7e33c819084e5673a5fb8cac7 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.