Triple
T28711909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of the Arabic Language in Mogadishu |
E729851
|
entity |
| Predicate | hasWritingSystemOfFocus |
P49764
|
FINISHED |
| Object | Arabic script |
—
|
LITERAL 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: Arabic script | Statement: [Academy of the Arabic Language in Mogadishu, hasWritingSystemOfFocus, Arabic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWritingSystemOfFocus Context triple: [Academy of the Arabic Language in Mogadishu, hasWritingSystemOfFocus, Arabic script]
-
A.
hasWritingSystemForMajorLanguage
Indicates that there exists a writing system used to represent a major language associated with the given entity.
-
B.
hasOfficialWritingSystem
Indicates that an entity (typically a language) is associated with a formally recognized and standardized writing system used for official or standard purposes.
-
C.
hasWritingSystemProperty
Indicates that a writing system possesses a specific characteristic, feature, or attribute.
-
D.
hasOriginalWritingSystem
Indicates that an entity possesses or is associated with a primary, native, or first-developed writing system used to represent its language or content.
-
E.
writingSystemFound
chosen
Indicates that a particular writing system is present, attested, or used in association with a given entity (such as a language, region, or community).
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 5:48 a.m.