Triple
T10304731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magway Region |
E241721
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Magway |
E854224
|
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: Magway | Statement: [Magway Region, seat, Magway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magway Context triple: [Magway Region, seat, Magway]
-
A.
Magway
chosen
Magway is a city in central Myanmar situated on the Irrawaddy River, known as an administrative, commercial, and agricultural hub of the surrounding region.
-
B.
Magway Region
Magway Region is a central administrative division of Myanmar known for its dry zone climate, agriculture, and location along the Irrawaddy River.
-
C.
Ayeyarwady Region
Ayeyarwady Region is a coastal administrative division in southwestern Myanmar known for its fertile delta plains, extensive rice cultivation, and dense network of waterways.
-
D.
Shan State
Shan State is a large, ethnically diverse administrative region in eastern Myanmar, bordering China, Laos, and Thailand, known for its hilly terrain and significant autonomy movements.
-
E.
Mandalay Region
Mandalay Region is a central administrative division of Myanmar known for its cultural heritage, historic cities, and role as a major economic and transportation hub.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75026fb0881908e4d16b3fde531c0 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:45 a.m.