Triple
T14753681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongding River |
E346676
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Wuding River |
E1118819
|
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: Wuding River | Statement: [Yongding River, historicalName, Wuding River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuding River Context triple: [Yongding River, historicalName, Wuding River]
-
A.
Wuding River
chosen
The Wuding River is a major river in northern China that serves as an important tributary of the Yongding River within the Hai River basin.
-
B.
Yunzhi River
The Yunzhi River is a significant tributary waterway that feeds into the Salween River system in Southeast Asia.
-
C.
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.
-
D.
Wenyu River
The Wenyu River is a major tributary of the Chaobai River in northern China that flows through the Beijing area and plays an important role in the region’s water system and flood control.
-
E.
Laodao River
The Laodao River is a regional river in Hunan Province, China, that flows through and helps drain the urbanized Changsha–Zhuzhou–Xiangtan metropolitan area.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38894a2481908dd219ecaa7f3a3c |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:30 a.m.