Triple
T689178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anhui |
E13352
|
entity |
| Predicate | traversedByRiver |
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: [Anhui, traversedByRiver, Huai River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huai River Context triple: [Anhui, traversedByRiver, 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.
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.
-
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.
Yellow River
The Yellow River is the second-longest river in China, historically known as the cradle of Chinese civilization and notorious for its devastating floods and heavy silt load.
-
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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a09669e4819089753204772e1fdd |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c0036a5081909d5b3a81a9ef3daf |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:36 p.m.