Triple
T1838070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali |
E41110
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ashraf |
E181202
|
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: Ashraf | Statement: [Somali, hasDialect, Ashraf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashraf Context triple: [Somali, hasDialect, Ashraf]
-
A.
Ashraf
chosen
Ashraf is a masculine given name of Arabic origin commonly used in various Muslim-majority countries.
-
B.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
C.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Mansour
Mansour is an Arabic surname commonly borne by individuals across the Middle East and North Africa, often associated with notable figures in politics, business, and the arts.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb039cb588190b2626245a7f0bd67 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b93cd08190a467b56a0c0bd957 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:33 p.m.