Triple
T12749154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Mrauk U |
E304684
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object |
Min Razagyi
Min Razagyi was a powerful 16th-century king of the Arakanese Kingdom of Mrauk U, known for expanding its territory and fostering a prosperous maritime trading state.
|
E1001273
|
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: Min Razagyi | Statement: [Kingdom of Mrauk U, notableRuler, Min Razagyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Min Razagyi Context triple: [Kingdom of Mrauk U, notableRuler, Min Razagyi]
-
A.
Lozi King
The Lozi King is the traditional monarch of the Lozi people of Barotseland in western Zambia, serving as a central political and cultural authority.
-
B.
Jayhun
Jayhun is the historical name used in Islamic and Persian sources for the Amu Darya, one of Central Asia’s major rivers.
-
C.
Issoze-Ngondet
Issoze-Ngondet is the surname of Emmanuel Issoze-Ngondet, a Gabonese politician who served as Prime Minister of Gabon.
-
D.
Kabaka
Kabaka is the traditional monarch and cultural leader of the Buganda people in present-day Uganda.
-
E.
Ko Ko Gyi
Ko Ko Gyi is a prominent Burmese democracy activist and former student leader known for his long-standing opposition to military rule in Myanmar.
- 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: Min Razagyi Triple: [Kingdom of Mrauk U, notableRuler, Min Razagyi]
Generated description
Min Razagyi was a powerful 16th-century king of the Arakanese Kingdom of Mrauk U, known for expanding its territory and fostering a prosperous maritime trading state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Min Razagyi Target entity description: Min Razagyi was a powerful 16th-century king of the Arakanese Kingdom of Mrauk U, known for expanding its territory and fostering a prosperous maritime trading state.
-
A.
Lozi King
The Lozi King is the traditional monarch of the Lozi people of Barotseland in western Zambia, serving as a central political and cultural authority.
-
B.
Jayhun
Jayhun is the historical name used in Islamic and Persian sources for the Amu Darya, one of Central Asia’s major rivers.
-
C.
Issoze-Ngondet
Issoze-Ngondet is the surname of Emmanuel Issoze-Ngondet, a Gabonese politician who served as Prime Minister of Gabon.
-
D.
Kabaka
Kabaka is the traditional monarch and cultural leader of the Buganda people in present-day Uganda.
-
E.
Ko Ko Gyi
Ko Ko Gyi is a prominent Burmese democracy activist and former student leader known for his long-standing opposition to military rule in Myanmar.
- 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_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:27 p.m.