Triple
T25506441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Psychology (Boğaziçi University) |
E639255
|
entity |
| Predicate | publicUniversityDepartment |
P29025
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Department of Psychology (Boğaziçi University), publicUniversityDepartment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicUniversityDepartment Context triple: [Department of Psychology (Boğaziçi University), publicUniversityDepartment, true]
-
A.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
B.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
C.
universitySectionOf
chosen
Indicates that one entity is a specific section, division, or part within a larger university.
-
D.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
-
E.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 2:47 p.m.