Triple
T29584288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osman Yusuf Kenadid |
E753678
|
entity |
| Predicate | languageWrittenWithHisScript |
P83803
|
FINISHED |
| Object | Somali language |
—
|
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: Somali language | Statement: [Osman Yusuf Kenadid, languageWrittenWithHisScript, Somali language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageWrittenWithHisScript Context triple: [Osman Yusuf Kenadid, languageWrittenWithHisScript, Somali language]
-
A.
isWrittenWith
Indicates that something is created or expressed using a particular writing tool, medium, or system.
-
B.
writingSystemDevelopedFor
chosen
Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
-
C.
hasOfficialWritingSystem
Indicates that an entity (typically a language) is associated with a formally recognized and standardized writing system used for official or standard purposes.
-
D.
isWrittenLanguage
Indicates that a language is primarily expressed and communicated through a written system of symbols or characters.
-
E.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
- F. None of above.
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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: April 28, 2026, 6:09 p.m.