Triple
T9230738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botahtaung Pagoda |
E221807
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Downtown Yangon |
E42684
|
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: Downtown Yangon | Statement: [Botahtaung Pagoda, nearby, Downtown Yangon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Yangon Context triple: [Botahtaung Pagoda, nearby, Downtown Yangon]
-
A.
Yangon
chosen
Yangon is Myanmar’s largest city and former capital, known as a major commercial hub featuring a mix of colonial architecture and prominent Buddhist landmarks like the Shwedagon Pagoda.
-
B.
UM2 Yangon
UM2 Yangon is a major public medical university in Yangon, Myanmar, specializing in training physicians and conducting medical research.
-
C.
Mandalay
Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
-
D.
Myanmar Plaza
Myanmar Plaza is a major shopping and commercial complex in Yangon, Myanmar, featuring retail stores, restaurants, offices, and a hotel.
-
E.
Mandalay Hill
Mandalay Hill is a prominent pilgrimage site and scenic hill in Mandalay, Myanmar, famed for its numerous pagodas and panoramic views over the city and 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee17a2dc8190b373f78be7247f0d |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077b0ed7c8190a7e8b95091033507 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:29 p.m.