Triple
T20043437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songhuajiang |
E497489
|
entity |
| Predicate | hasPinyinName |
P2508
|
FINISHED |
| Object | Songhuajiang |
—
|
NE NERFINISHED |
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: Songhuajiang | Statement: [Songhuajiang, hasPinyinName, Songhuajiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Songhuajiang Context triple: [Songhuajiang, hasPinyinName, Songhuajiang]
-
A.
Songhuajiang
chosen
Songhuajiang is the pinyin romanized name of the Songhua River, a major river in northeastern China that flows through Heilongjiang and Jilin provinces.
-
B.
Zhanghe River
The Zhanghe River is a river in northern China that flows through Shanxi Province, including the city of Changzhi, and is part of the Hai River basin.
-
C.
Shantang River
Shantang River is a historic waterway in Suzhou, China, famed for its traditional canalside scenery and role in the city’s ancient transport and commerce network.
-
D.
Yanhe River
The Yanhe River is a tributary of the Yellow River in China’s Shaanxi Province, flowing through the historic city of Yan’an and its surrounding loess plateau landscapes.
-
E.
Changshan River
The Changshan River is a regional river in Quzhou, Zhejiang Province, China, contributing to the area's local water system and landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.