Triple
T15876365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakhine State |
E384961
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Arakan |
E56814
|
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: Arakan | Statement: [Rakhine State, historicalName, Arakan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arakan Context triple: [Rakhine State, historicalName, Arakan]
-
A.
Arakan
chosen
Arakan is a historical coastal region in western Myanmar, now largely corresponding to Rakhine State and known for its distinct ethnic and cultural identity.
-
B.
Arakan
Arakan is a rural municipality in the province of Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and scenic highland landscapes.
-
C.
Thayarwady
Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
-
D.
Magway
Magway is a city in central Myanmar situated on the Irrawaddy River, known as an administrative, commercial, and agricultural hub of the surrounding region.
-
E.
Ta’ang
Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
- 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.