Triple
T16066424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beşevler Campus |
E389743
|
entity |
| Predicate | hasAcademicUnits |
P1488
|
FINISHED |
| Object | faculties |
—
|
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: faculties | Statement: [Beşevler Campus, hasAcademicUnits, faculties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicUnits Context triple: [Beşevler Campus, hasAcademicUnits, faculties]
-
A.
hasAcademicUnit
chosen
Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
-
B.
hasAcademicDepartment
Indicates that an institution or organization includes or is associated with a specific academic department.
-
C.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
D.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
E.
servesAcademicUnit
Indicates that one entity performs services or functions in support of, or on behalf of, an academic unit.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.