Triple
T6742969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengbu |
E154134
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Huai River |
E18501
|
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: Huai River | Statement: [Bengbu, locatedOnRiver, Huai River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huai River Context triple: [Bengbu, locatedOnRiver, Huai River]
-
A.
Huai River
chosen
The Huai River is a major river in eastern China that historically served as a key geographical and cultural boundary between northern and southern China.
-
B.
Chaobai River
The Chaobai River is a major river in northern China that flows through Hebei Province and Beijing, contributing significantly to the Hai River basin and regional water resources.
-
C.
Luo River
The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
-
D.
Wu River
The Wu River is a significant river in southwestern China known for flowing through deep gorges and contributing substantially to the Yangtze River system.
-
E.
Hwang River
The Hwang River is a river in South Korea that feeds into the Nakdong River, contributing to one of the country’s major watershed systems.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.