Triple
T14883063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Bagyidaw |
E350047
|
entity |
| Predicate | governedAsPrince |
P114786
|
FINISHED |
| Object |
Tharrawaddy
Tharrawaddy was a 19th-century Burmese prince who later became King of the Konbaung Dynasty in Myanmar.
|
E1127398
|
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: Tharrawaddy | Statement: [King Bagyidaw, governedAsPrince, Tharrawaddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tharrawaddy Context triple: [King Bagyidaw, governedAsPrince, Tharrawaddy]
-
A.
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.
-
B.
Pathein
Pathein is a major city in Myanmar’s Ayeyarwady Region, known as a regional commercial hub and for its traditional handcrafted umbrellas.
-
C.
Thayarwady
Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
-
D.
Sittwe
Sittwe is a coastal city in western Myanmar that has been a focal point of political unrest and ethnic tensions, including major protests during the Saffron Revolution.
-
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: Tharrawaddy Triple: [King Bagyidaw, governedAsPrince, Tharrawaddy]
Generated description
Tharrawaddy was a 19th-century Burmese prince who later became King of the Konbaung Dynasty in Myanmar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tharrawaddy Target entity description: Tharrawaddy was a 19th-century Burmese prince who later became King of the Konbaung Dynasty in Myanmar.
-
A.
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.
-
B.
Pathein
Pathein is a major city in Myanmar’s Ayeyarwady Region, known as a regional commercial hub and for its traditional handcrafted umbrellas.
-
C.
Thayarwady
Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
-
D.
Sittwe
Sittwe is a coastal city in western Myanmar that has been a focal point of political unrest and ethnic tensions, including major protests during the Saffron Revolution.
-
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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aedae081909616f4aca3a44c92 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe73ee0da48190b8909009e0dc517b |
completed | May 8, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe748da7948190b7253b9dc09ae9fa |
completed | May 8, 2026, 11:41 p.m. |
Created at: April 10, 2026, 1:56 a.m.