Triple
T9842099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandalay Region |
E239251
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Thabeikkyin
Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
|
E827199
|
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: Thabeikkyin | Statement: [Mandalay Region, containsTown, Thabeikkyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thabeikkyin Context triple: [Mandalay Region, containsTown, Thabeikkyin]
-
A.
Nyaungshwe
Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
-
B.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
C.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
D.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
E.
Myingyan
Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
- 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: Thabeikkyin Triple: [Mandalay Region, containsTown, Thabeikkyin]
Generated description
Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thabeikkyin Target entity description: Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
-
A.
Nyaungshwe
Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
-
B.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
C.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
D.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
E.
Myingyan
Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34e3420819084bb31170e643cd0 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ead49b14819086a9bbd256f298a9 |
completed | April 5, 2026, 4:53 a.m. |
| NEDg | Description generation | batch_69d1eb79be388190853e0e7c29287294 |
completed | April 5, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ebf0a99081908ae0c4bceadc42bc |
completed | April 5, 2026, 4:58 a.m. |
Created at: March 30, 2026, 8:33 p.m.