Triple
T3755034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arakan Mountains |
E82024
|
entity |
| Predicate | languageVariantName |
P20733
|
FINISHED |
| Object | Arakan Yoma |
E82024
|
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: Arakan Yoma | Statement: [Arakan Mountains, languageVariantName, Arakan Yoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arakan Yoma Context triple: [Arakan Mountains, languageVariantName, Arakan Yoma]
-
A.
Arakan Mountains
chosen
The Arakan Mountains are a rugged coastal mountain range in western Myanmar that form a natural barrier between the country’s central plains and the Bay of Bengal.
-
B.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
C.
Tenasserim Hills
Tenasserim Hills is a long mountain range forming a natural border between Myanmar and Thailand on the Indochinese Peninsula.
-
D.
Mizo Hills
Mizo Hills is a mountainous region in the Indian state of Mizoram, known for its lush green landscapes, dense forests, and rich indigenous Mizo culture.
-
E.
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.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb0fc6248190b2f4adf3fd2d73d9 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 8, 2026, 3:35 p.m.