Triple
T12656332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiktila |
E302292
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pyawbwe |
E825368
|
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: Pyawbwe | Statement: [Meiktila, locatedNear, Pyawbwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyawbwe Context triple: [Meiktila, locatedNear, Pyawbwe]
-
A.
Pyawbwe
chosen
Pyawbwe is a town in central Myanmar located within the Mandalay Region.
-
B.
Pyay
Pyay is a historic town in central Myanmar known as a regional trading center and gateway to the ancient Pyu archaeological sites of Sri Ksetra.
-
C.
Shwebo
Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
-
D.
Nwe Zin Win
Nwe Zin Win is a Burmese woman known primarily as the wife of prominent Myanmar comedian and satirist Maung Thura, better known as Zarganar.
-
E.
Naypyidaw
Naypyidaw is Myanmar’s planned administrative city known for its vast, sparsely populated layout and role as the country’s political center.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.