Triple
T11806429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanintharyi Region |
E280756
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Tanintharyi |
E279548
|
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: Tanintharyi | Statement: [Tanintharyi Region, containsTown, Tanintharyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanintharyi Context triple: [Tanintharyi Region, containsTown, Tanintharyi]
-
A.
Tanintharyi
chosen
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
B.
Hinthada
Hinthada is a town in southwestern Myanmar known as a regional commercial center along the Irrawaddy River.
-
C.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
D.
Thabeikkyin
Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
-
E.
Myittha
Myittha is a town located in Myanmar’s central Mandalay Region.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1315b4b1481908106984a1362be89 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.