Triple
T10611407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monywa |
E276016
|
entity |
| Predicate | isCapitalOf |
P204
|
FINISHED |
| Object | Monywa Township |
E798668
|
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: Monywa Township | Statement: [Monywa, isCapitalOf, Monywa Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monywa Township Context triple: [Monywa, isCapitalOf, Monywa Township]
-
A.
Monywa Township
chosen
Monywa Township is an administrative township in central Myanmar, centered on the city of Monywa and located within the country's Sagaing Region.
-
B.
Twante Township
Twante Township is an administrative township in Myanmar located within the Yangon Region, known for its traditional pottery industry and proximity to Yangon city.
-
C.
Mahlaing Township
Mahlaing Township is an administrative township located within Myanmar's central Mandalay Region.
-
D.
Mudon Township
Mudon Township is an administrative township in southeastern Myanmar, situated in Mon State along the country’s southern coastal region.
-
E.
Montezuma Township
Montezuma Township is a civil township located within Poweshiek County in the U.S. state of Iowa.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.