Triple
T23387970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanifi Rohingya script |
E593935
|
entity |
| Predicate | UnicodeBlock |
P1445
|
FINISHED |
| Object | Hanifi Rohingya |
—
|
NE NERFINISHED |
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: Hanifi Rohingya | Statement: [Hanifi Rohingya script, UnicodeBlock, Hanifi Rohingya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanifi Rohingya Context triple: [Hanifi Rohingya script, UnicodeBlock, Hanifi Rohingya]
-
A.
Rohingya
chosen
The Rohingya are a predominantly Muslim ethnic minority from Myanmar’s Rakhine State, known globally for facing severe persecution and statelessness.
-
B.
Rakhine people
The Rakhine people are an ethnic group primarily inhabiting Myanmar’s coastal Rakhine State, with their own distinct language and culture closely related to but historically and culturally separate from the majority Bamar population.
-
C.
Amri Karbi
Amri Karbi is a dialect of the Karbi language spoken by the Karbi people in parts of Northeast India.
-
D.
Banglar Bani
Banglar Bani was a prominent Bangladeshi newspaper known for its role in the country’s political and cultural discourse.
-
E.
Nurul Alam
Nurul Alam is a Bangladeshi academic who serves as the vice-chancellor of Jahangirnagar University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a499bad88190afca1afb2e3fddb0 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.