Triple
T775368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow River |
E16374
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Jinan |
E80751
|
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: Jinan | Statement: [Yellow River, majorCityOnRiver, Jinan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinan Context triple: [Yellow River, majorCityOnRiver, Jinan]
-
A.
Jinan
chosen
Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
-
B.
Qingdao
Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
-
C.
Taierzhuang
Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
-
D.
Kaifeng
Kaifeng is an ancient city in eastern Henan, China, historically significant as a former capital of several Chinese dynasties and a major cultural and economic center.
-
E.
Taiyuan
Taiyuan is the capital and largest city of Shanxi Province in northern China, known as an important industrial and transportation hub with a long imperial history.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a73236288190b82d66202f2f7399 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce4e94688190bc29b4a1e26f6b93 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:37 p.m.