Triple
T15183648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hồng Hà |
E362810
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Sông Hồng |
E362809
|
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 Hồng | Statement: [Hồng Hà, hasLocalName, Sông Hồng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sông Hồng Context triple: [Hồng Hà, hasLocalName, Sông Hồng]
-
A.
Sông Hồng
chosen
Sông Hồng is a major river in northern Vietnam that flows through the capital Hanoi and plays a crucial role in the region’s agriculture, transportation, and history.
-
B.
Ba River
The Ba River is a significant river on the Fijian island of Viti Levu, known for flowing through the Ba region and supporting local agriculture and settlements.
-
C.
Lan River
The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
-
D.
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.
-
E.
Hai River
The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133950288190a5ffeb52ee0bac37 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:09 a.m.