Triple
T15876340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakhine State |
E384961
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Bago Region |
E226598
|
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: Bago Region | Statement: [Rakhine State, borders, Bago Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bago Region Context triple: [Rakhine State, borders, Bago Region]
-
A.
Bago Region
chosen
Bago Region is an administrative division in central Myanmar known for its historical cities, agricultural economy, and role as a significant site of political unrest and protests.
-
B.
Gabu Region
Gabu Region is an administrative region in eastern Guinea-Bissau known for its savanna landscapes and diverse ethnic communities.
-
C.
Tilantongo region
The Tilantongo region is a historic Mixtec area in present-day Oaxaca, Mexico, known as a major political and cultural center of pre-Columbian Mesoamerica.
-
D.
Dikhil Region
Dikhil Region is an administrative region in southwestern Djibouti known for its arid landscapes, border location near Ethiopia, and the town of Dikhil as its capital.
-
E.
Isaac Region
Isaac Region is a local government area in central Queensland, Australia, known for its extensive coal mining operations and rural communities.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.