Triple
T17356706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagan temples |
E421953
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Nyaung-U |
E825625
|
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: Nyaung-U | Statement: [Bagan temples, nearbyCity, Nyaung-U]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyaung-U Context triple: [Bagan temples, nearbyCity, Nyaung-U]
-
A.
Nyaung-U
chosen
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
B.
Pyinmana
Pyinmana is a town in central Myanmar that serves as a key urban center near the country’s administrative capital, Naypyidaw.
-
C.
Kyaukse
Kyaukse is a town in central Myanmar known for its fertile agricultural lands and historic Buddhist pagodas, located south of Mandalay in the Mandalay Region.
-
D.
Mogaung
Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
-
E.
Taungthu
Taungthu refers to the Pa'O people, an ethnic minority group in Myanmar known for their distinct traditional dress and agricultural lifestyle in the Shan and Kayin States.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4976788190b00c00f710be6c46 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955c37b48190bcef819e106005d2 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.