Triple
T14479352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American University of Sharjah |
E359058
|
entity |
| Predicate | followsAcademicModel |
P39270
|
FINISHED |
| Object | American higher education system |
—
|
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: American higher education system | Statement: [American University of Sharjah, followsAcademicModel, American higher education system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsAcademicModel Context triple: [American University of Sharjah, followsAcademicModel, American higher education system]
-
A.
hasAcademicSystem
chosen
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
B.
hasAcademicCharacter
Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
-
C.
associatedWithAcademicProgram
Indicates that an entity has a formal connection or linkage to a specific academic program.
-
D.
sharesAcademicModelWith
Indicates that two entities use or are based on the same academic framework, structure, or model.
-
E.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.