Triple
T4399780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearl River |
E93586
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object | Bei River |
E344762
|
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: Bei River | Statement: [Pearl River, majorTributary, Bei River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bei River Context triple: [Pearl River, majorTributary, Bei River]
-
A.
Bei River
chosen
The Bei River is one of the principal tributaries of southern China’s Pearl River system, flowing through Guangdong province and helping drain the Pearl River Delta region.
-
B.
Lotru River
The Lotru River is a mountain river in Romania that flows through the Southern Carpathians and is known for its hydroelectric developments and scenic valley.
-
C.
Tooma River
The Tooma River is a snow-fed river in the Snowy Mountains of New South Wales, Australia, that forms part of the Snowy Mountains Scheme’s network of diverted alpine waterways.
-
D.
Yeso River
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
-
E.
Blue River
Blue River is a tributary of the Missouri River that flows through eastern Kansas and western Missouri, including the Kansas City 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91b0ad9188190ad74c33802f50783 |
completed | March 29, 2026, 12:28 p.m. |
Created at: March 12, 2026, 11:27 p.m.