Triple
T17614446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuling District |
E429046
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Yuan River |
—
|
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: Yuan River | Statement: [Wuling District, locatedOnRiver, Yuan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuan River Context triple: [Wuling District, locatedOnRiver, Yuan River]
-
A.
Yuan River
chosen
The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
-
B.
Wen River
The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
-
C.
Xin River
The Xin River is a major river in Jiangxi Province, China, that serves as one of the principal tributaries supplying water to Poyang Lake.
-
D.
Chu River
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.
-
E.
Chu River
The Chu River is a waterway that serves as a tributary within the Ma River basin in Southeast Asia.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2fd96481908c9f3b566fca6907 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.