Triple
T13305153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanlwin River |
E316916
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Yunzhi River |
E415636
|
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: Yunzhi River | Statement: [Thanlwin River, hasTributary, Yunzhi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yunzhi River Context triple: [Thanlwin River, hasTributary, Yunzhi River]
-
A.
Yunzhi River
chosen
The Yunzhi River is a significant tributary waterway that feeds into the Salween River system in Southeast Asia.
-
B.
Jiulong River
The Jiulong River is a major river in southeastern China that flows through Fujian Province and plays an important role in the region’s ecology, transportation, and agriculture.
-
C.
Kuang River
The Kuang River is a tributary waterway in northern Thailand that feeds into the Ping River, contributing to the Chao Phraya River basin.
-
D.
Ruo River
The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
-
E.
Xié River
The Xié River is a waterway in the northwest Amazon region of Brazil, known for being home to Indigenous communities such as the Warekena people.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546fbd1881909d2dda1edb63df2f |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:28 p.m.