Triple
T7743310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon State |
E175561
|
entity |
| Predicate | containsTownship |
P847
|
FINISHED |
| Object | Mawlamyine Township |
E402287
|
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: Mawlamyine Township | Statement: [Mon State, containsTownship, Mawlamyine Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mawlamyine Township Context triple: [Mon State, containsTownship, Mawlamyine Township]
-
A.
Hmawbi Township
Hmawbi Township is an administrative township in Myanmar located within the Yangon Region, known for its semi-rural character and proximity to Yangon city.
-
B.
Mawlamyine
chosen
Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
-
C.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
D.
Lashio District
Lashio District is an administrative district in northern Shan State, Myanmar, centered around the town of Lashio as its principal urban and economic hub.
-
E.
Myitkyina
Myitkyina is the capital of Kachin State in northern Myanmar, known as a key regional center and transport hub near the upper reaches of the Irrawaddy River.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70388d58081909aad2c03b4501e78 |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be48d61c8190aba1e5f23d7cb1be |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.