Triple
T7520794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongzhou |
E177762
|
entity |
| Predicate | locatedAtConfluenceOf |
P11842
|
FINISHED |
| Object | Xiao River |
E268232
|
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: Xiao River | Statement: [Yongzhou, locatedAtConfluenceOf, Xiao River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiao River Context triple: [Yongzhou, locatedAtConfluenceOf, Xiao River]
-
A.
Xiao River
chosen
The Xiao River is a significant river in Hunan Province, China, known as one of the main tributaries feeding into the Xiang River system.
-
B.
Daquan River
Daquan River is a river in the Dunhuang area of Gansu, China, known for flowing near the historic Mogao Caves along the ancient Silk Road.
-
C.
Qing River
The Qing River is a major tributary of the Yangtze River in central China, known for its deep gorges, hydropower dams, and scenic landscapes in Hubei Province.
-
D.
Xié River
The Xié River is a waterway in the northwest Amazon region of Brazil, known for being home to Indigenous communities such as the Warekena people.
-
E.
Xiliao River
The Xiliao River is a major river in northeastern China that forms part of the upper Liao River system and drains a large area of Inner Mongolia and Liaoning.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c2ad6c8190b822c0a5b80e7829 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c96c14aa588190a660de4e356a6b07 |
completed | March 29, 2026, 6:14 p.m. |
Created at: March 27, 2026, 3:46 p.m.