Triple
T8748330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizo District |
E207888
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Burma |
E11632
|
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: Burma | Statement: [Mizo District, borderedBy, Burma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burma Context triple: [Mizo District, borderedBy, Burma]
-
A.
Myanmar
chosen
Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
-
B.
Burma (until 1937)
Burma (until 1937) was a province administered as part of British India under British colonial rule before becoming a separately governed colony.
-
C.
Arakan
Arakan is a historical coastal region in western Myanmar, now largely corresponding to Rakhine State and known for its distinct ethnic and cultural identity.
-
D.
Birman
Birman is a surname most notably associated with Joan S. Birman, an American mathematician recognized for her work in topology and braid theory.
-
E.
Thailand
Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da2d67c819094b2b39c78384d0d |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf518d48b481909e2abf5d60bf7c78 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:39 p.m.