Triple
T9406429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bago Region |
E226598
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Thayarwady
Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
|
E800806
|
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: Thayarwady | Statement: [Bago Region, contains, Thayarwady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thayarwady Context triple: [Bago Region, contains, Thayarwady]
-
A.
Arakan
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.
Shwebo
Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
-
C.
Myanmar
Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
-
D.
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.
-
E.
Moulamein
Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
- 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: Thayarwady Triple: [Bago Region, contains, Thayarwady]
Generated description
Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thayarwady Target entity description: Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
-
A.
Arakan
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.
Shwebo
Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
-
C.
Myanmar
Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
-
D.
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.
-
E.
Moulamein
Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12228d8148190814646881e1f2d98 |
completed | April 4, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69d123ce74f0819096313629c081990b |
completed | April 4, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1243ba18881909c2adf7c0b4b93b8 |
completed | April 4, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:47 p.m.