Triple
T9842111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandalay Region |
E239251
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Taungtha |
E828748
|
NE FINISHED |
How this triple was built (2 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: Taungtha | Statement: [Mandalay Region, containsTown, Taungtha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taungtha Context triple: [Mandalay Region, containsTown, Taungtha]
-
A.
Thandwe
Thandwe is a coastal town in western Myanmar’s Rakhine State, historically known as Sandoway and serving as an important regional center near the popular Ngapali Beach.
-
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.
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.
-
D.
Myittha
chosen
Myittha is a town located in Myanmar’s central Mandalay Region.
-
E.
Maung Wuntha
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d22871bfe48190909467f07eda0118 |
completed | April 5, 2026, 9:16 a.m. |
Created at: March 30, 2026, 8:33 p.m.