Triple
T3637466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Taipei City |
E77106
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xindian River |
E78493
|
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: Xindian River | Statement: [New Taipei City, contains, Xindian River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xindian River Context triple: [New Taipei City, contains, Xindian River]
-
A.
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.
-
B.
Tamsui River
chosen
The Tamsui River is a major river in northern Taiwan that flows through the Taipei metropolitan area before emptying into the Taiwan Strait.
-
C.
Xiaoqing River
The Xiaoqing River is a significant river in Shandong Province, China, flowing through the city of Jinan and serving as an important regional waterway.
-
D.
Shinfa River
The Shinfa River is a tributary watercourse that feeds into the Atbara River in northeastern Africa.
-
E.
Liu River
The Liu River is a significant river in the Guangxi Zhuang Autonomous Region of southern China, known for flowing through the industrial city of Liuzhou and contributing to the region’s transportation and economy.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488320c58819088f8cc677f675ec3 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.