Triple
T31766230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Pharmacy, Helwan University |
E810814
|
entity |
| Predicate | typeOfUniversityFaculty |
P103920
|
FINISHED |
| Object | pharmacy faculty |
—
|
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: pharmacy faculty | Statement: [Faculty of Pharmacy, Helwan University, typeOfUniversityFaculty, pharmacy faculty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfUniversityFaculty Context triple: [Faculty of Pharmacy, Helwan University, typeOfUniversityFaculty, pharmacy faculty]
-
A.
typeOfFaculty
Indicates the specific category or classification of faculty to which an academic staff member belongs (e.g., department, school, or faculty type).
-
B.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
C.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
D.
universityUnitType
chosen
Indicates the specific category or type of organizational unit within a university (such as department, faculty, school, or institute) that an entity belongs to.
-
E.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
Created at: April 30, 2026, 11:32 p.m.