Triple
T15876367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakhine State |
E384961
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Kaladan River |
E999407
|
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: Kaladan River | Statement: [Rakhine State, hasRiver, Kaladan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaladan River Context triple: [Rakhine State, hasRiver, Kaladan River]
-
A.
Kaladan River
chosen
The Kaladan River is a major waterway in western Myanmar and eastern India that flows from the Chin Hills to the Bay of Bengal, serving as an important route for transport, trade, and regional connectivity.
-
B.
Dragonja River
The Dragonja River is a short coastal river in southwestern Slovenia that forms part of the border with Croatia before emptying into the Adriatic Sea.
-
C.
Lyari River
The Lyari River is a small, heavily polluted seasonal river flowing through Karachi, Pakistan, that has become a major urban drainage channel.
-
D.
Kureika River
The Kureika River is a major Siberian waterway in northern Russia that flows through Krasnoyarsk Krai before joining the Yenisei River.
-
E.
Kharun River
The Kharun River is a significant river in the Indian state of Chhattisgarh that flows through and around the city of Raipur, supporting local agriculture and ecosystems.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.