Triple
T13266520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kachin State |
E315938
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Irrawaddy River |
E48425
|
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: Irrawaddy River | Statement: [Kachin State, river, Irrawaddy River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irrawaddy River Context triple: [Kachin State, river, Irrawaddy River]
-
A.
Irrawaddy River
chosen
The Irrawaddy River is Myanmar’s largest and most important waterway, serving as a vital transport route and lifeline for agriculture, fisheries, and riverine communities from the north to the Andaman Sea.
-
B.
Chindwin River
The Chindwin River is a major river in northwestern Myanmar that flows through remote, forested regions before joining the Irrawaddy.
-
C.
Yangon River
The Yangon River is a major waterway in southern Myanmar that flows past the city of Yangon before emptying into the Gulf of Martaban.
-
D.
Hlaing River
The Hlaing River is a major waterway in Myanmar that flows through the city of Yangon and plays a key role in its transport and commerce.
-
E.
Myawaddy
Myawaddy is a key Myanmar border town in Kayin State, situated across the Moei River from Thailand’s Mae Sot and serving as a major hub for cross-border trade and travel.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cd8c2c8190a28d901fde98dc26 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:25 p.m.