Triple
T7520802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongzhou |
E177762
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Xiang River |
E555557
|
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: Xiang River | Statement: [Yongzhou, hasRiver, Xiang River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiang River Context triple: [Yongzhou, hasRiver, Xiang River]
-
A.
Xiang River
chosen
The Xiang River is a major waterway in southern China that flows through Hunan province and has historically been an important route for transport, culture, and military campaigns.
-
B.
Xiangxi River
The Xiangxi River is a tributary waterway in China that feeds into the Jialing River within the upper Yangtze River basin.
-
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.
Hunjiang River
The Hunjiang River is a significant river in northeastern China that serves as a major tributary within the Yalu River basin.
- 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_69c861438bb08190a5254ed7f28aec32 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:46 p.m.