Triple
T16069689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chu |
E389827
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Chu River basin |
E93176
|
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: Chu River basin | Statement: [Chu, partOf, Chu River basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chu River basin Context triple: [Chu, partOf, Chu River basin]
-
A.
Dadu River region
The Dadu River region is a mountainous area in southwestern China known as a key homeland of Qiangic-speaking ethnic groups and part of the culturally diverse eastern Tibetan Plateau corridor.
-
B.
Yellow River basin
The Yellow River basin is the extensive watershed region in northern China that collects the river’s tributaries and supports major agricultural, ecological, and population centers.
-
C.
Chu River
chosen
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.
-
D.
Chu River
The Chu River is a waterway that serves as a tributary within the Ma River basin in Southeast Asia.
-
E.
Yangtze River basin
The Yangtze River basin is the vast drainage area of the Yangtze River in China, encompassing diverse ecosystems, major cities, and key agricultural and industrial regions.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bd9578819097e7cb1108b1f6f7 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8f12708190956f203a3e58e18b |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.