Triple
T12748962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Myanmar |
E304680
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Buthidaung
Buthidaung is a town in Myanmar’s Rakhine State, known for its ethnically diverse population and proximity to the border with Bangladesh.
|
E1004218
|
NE FINISHED |
How this triple was built (4 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: Buthidaung | Statement: [Western Myanmar, hasTown, Buthidaung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buthidaung Context triple: [Western Myanmar, hasTown, Buthidaung]
-
A.
Mawlamyine
Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
-
B.
Nyaungshwe
Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
-
C.
Myingyan
Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
-
D.
Amarapura
Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
-
E.
Lashio
Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buthidaung Triple: [Western Myanmar, hasTown, Buthidaung]
Generated description
Buthidaung is a town in Myanmar’s Rakhine State, known for its ethnically diverse population and proximity to the border with Bangladesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buthidaung Target entity description: Buthidaung is a town in Myanmar’s Rakhine State, known for its ethnically diverse population and proximity to the border with Bangladesh.
-
A.
Mawlamyine
Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
-
B.
Nyaungshwe
Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
-
C.
Myingyan
Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
-
D.
Amarapura
Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
-
E.
Lashio
Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
- F. None of above. chosen
Provenance (5 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb5f4188190a5d014bf68557a96 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f691a177f88190be0b7ccf5f9dd6ef |
completed | May 3, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f692361c3c81909078a19be1a86231 |
completed | May 3, 2026, 12:09 a.m. |
Created at: April 9, 2026, 5:27 p.m.