Triple
T7152306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mulanje |
E166720
|
entity |
| Predicate | hasRiverSource |
P947
|
FINISHED |
| Object | Ruo River |
E646840
|
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: Ruo River | Statement: [Mount Mulanje, hasRiverSource, Ruo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruo River Context triple: [Mount Mulanje, hasRiverSource, Ruo River]
-
A.
Ruo River
chosen
The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
-
B.
Shaowu River
The Shaowu River is a river in Fujian Province, China, that forms part of the upper reaches of the Min River system and drains the mountainous interior around Shaowu city.
-
C.
Yunzhi River
The Yunzhi River is a significant tributary waterway that feeds into the Salween River system in Southeast Asia.
-
D.
Xin’an River
The Xin’an River is a major river in eastern China known for its scenic landscapes and as an important tributary contributing to the Qiantang River system.
-
E.
Xiliao River
The Xiliao River is a major river in northeastern China that forms part of the upper Liao River system and drains a large area of Inner Mongolia and Liaoning.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f52c1081908c4fa424d5e965bc |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac7b53488190a00978e936b563ac |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 2:46 p.m.