Triple
T10304763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magway Region |
E241721
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Minbu
Minbu is a town in central Myanmar known for its hot springs and location along the Irrawaddy River in the Magway Region.
|
E854230
|
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: Minbu | Statement: [Magway Region, hasTown, Minbu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minbu Context triple: [Magway Region, hasTown, Minbu]
-
A.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
B.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
C.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
-
D.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
-
E.
Bomunsan
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
- 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: Minbu Triple: [Magway Region, hasTown, Minbu]
Generated description
Minbu is a town in central Myanmar known for its hot springs and location along the Irrawaddy River in the Magway Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minbu Target entity description: Minbu is a town in central Myanmar known for its hot springs and location along the Irrawaddy River in the Magway Region.
-
A.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
B.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
C.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
-
D.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
-
E.
Bomunsan
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d58416081909a010e905d70e934 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:45 a.m.