Triple
T14739231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leiden University city centre campus |
E346296
|
entity |
| Predicate | primaryFaculties |
P112902
|
FINISHED |
| Object | Humanities |
—
|
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: Humanities | Statement: [Leiden University city centre campus, primaryFaculties, Humanities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFaculties Context triple: [Leiden University city centre campus, primaryFaculties, Humanities]
-
A.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
B.
numberOfFaculties
Indicates the total count of faculties associated with a given entity.
-
C.
campusSector
Indicates that one location or facility is part of, or belongs to, a specific sector or zone within a campus.
-
D.
primaryAcademicDivisionOf
chosen
Indicates that one entity serves as the main academic division or faculty to which another entity (such as a program, department, or course) is organizationally assigned.
-
E.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:29 a.m.