Triple
T7026323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohamed |
E162955
|
entity |
| Predicate | isTransliterationOf |
P5923
|
FINISHED |
| Object | محمد |
E162955
|
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: محمد | Statement: [Mohamed, isTransliterationOf, محمد]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: محمد Context triple: [Mohamed, isTransliterationOf, محمد]
-
A.
Mohamed
chosen
Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
-
B.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
C.
Mohammad
Mohammad is the given first name of Indonesian independence leader and former vice president Bung Hatta.
-
D.
Walid
Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
-
E.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77588285481909799a2bb76921b9a |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.