Triple
T3697511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsui River |
E78493
|
entity |
| Predicate | alsoRomanizedAs |
P2508
|
FINISHED |
| Object | Danshuei River |
E398900
|
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: Danshuei River | Statement: [Tamsui River, alsoRomanizedAs, Danshuei River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danshuei River Context triple: [Tamsui River, alsoRomanizedAs, Danshuei River]
-
A.
Danshui River
chosen
Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
-
B.
Guandu River
The Guandu River is a crucial waterway in Brazil that serves as the primary source of drinking water for much of the metropolitan region of Rio de Janeiro.
-
C.
Shinfa River
The Shinfa River is a tributary watercourse that feeds into the Atbara River in northeastern Africa.
-
D.
Kameng River
Kameng River is a major Himalayan river in northeastern India that flows through Arunachal Pradesh and Assam before joining the Brahmaputra.
-
E.
Xiao River
The Xiao River is a significant river in Hunan Province, China, known as one of the main tributaries feeding into the Xiang River system.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc5115ad8819085ffa938de3943f4 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53367ad5c81909f7bcbbc967514b7 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 8, 2026, 3:26 p.m.