Triple
T15984144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sittaung River basin |
E387647
|
entity |
| Predicate | hasMajorCityInBasin |
P33130
|
FINISHED |
| Object |
Pyinmana
Pyinmana is a town in central Myanmar that serves as a key urban center near the country’s administrative capital, Naypyidaw.
|
E1192736
|
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: Pyinmana | Statement: [Sittaung River basin, hasMajorCityInBasin, Pyinmana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyinmana Context triple: [Sittaung River basin, hasMajorCityInBasin, Pyinmana]
-
A.
Thabeikkyin
Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
-
B.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
C.
Myittha
Myittha is a town located in Myanmar’s central Mandalay Region.
-
D.
Mogaung
Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
-
E.
Maungdaw
Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
- 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: Pyinmana Triple: [Sittaung River basin, hasMajorCityInBasin, Pyinmana]
Generated description
Pyinmana is a town in central Myanmar that serves as a key urban center near the country’s administrative capital, Naypyidaw.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pyinmana Target entity description: Pyinmana is a town in central Myanmar that serves as a key urban center near the country’s administrative capital, Naypyidaw.
-
A.
Thabeikkyin
Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
-
B.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
C.
Myittha
Myittha is a town located in Myanmar’s central Mandalay Region.
-
D.
Mogaung
Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
-
E.
Maungdaw
Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15756d6488190ac35da00e96ce21d |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46f19f48190a33647c711893564 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe64d42ec8190a518e58834852080 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:54 a.m.