Triple
T837921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiantang River |
E18111
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Xin’an River |
E118289
|
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: Xin’an River | Statement: [Qiantang River, tributary, Xin’an River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xin’an River Context triple: [Qiantang River, tributary, Xin’an River]
-
A.
Xin’an River
chosen
The Xin’an River is a major river in eastern China known for its scenic landscapes and as an important tributary contributing to the Qiantang River system.
-
B.
Luo River
The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
-
C.
Jialing River
The Jialing River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing heavily to the region’s water resources, transportation, and ecology.
-
D.
Nanfei River
The Nanfei River is a key waterway flowing through the city of Hefei in Anhui Province, China, playing an important role in its urban landscape and drainage system.
-
E.
Chu River
The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abd0e8bc8190afe29cd4745c2f86 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b99a6c08190995ece1c1e9a54c9 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:38 p.m.