Triple
T17619267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quảng Nam province |
E429665
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Thu Bồn River |
—
|
NE NERFINISHED |
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: Thu Bồn River | Statement: [Quảng Nam province, traversedByRiver, Thu Bồn River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thu Bồn River Context triple: [Quảng Nam province, traversedByRiver, Thu Bồn River]
-
A.
Luong River
Luong River is a tributary waterway in Vietnam that feeds into the larger Ma River system.
-
B.
Thu Bon River
chosen
The Thu Bon River is a major waterway in central Vietnam that has historically supported trade, agriculture, and the cultural life of the ancient port town of Hoi An.
-
C.
Lan River
The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
-
D.
River Diem
The River Diem is a small waterway in the Netherlands that flows through the town of Diemen near Amsterdam.
-
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 (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.