Triple
T17799810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagstuhl Castle |
E444390
|
entity |
| Predicate | primaryAcademicFieldHosted |
P58460
|
FINISHED |
| Object | computer science |
—
|
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: computer science | Statement: [Dagstuhl Castle, primaryAcademicFieldHosted, computer science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAcademicFieldHosted Context triple: [Dagstuhl Castle, primaryAcademicFieldHosted, computer science]
-
A.
primaryAcademicDivisionOf
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.
-
B.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
C.
housesAcademicDiscipline
chosen
Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
-
D.
primarySubjectArea
Indicates the main academic or topical field to which something (such as a work, course, or resource) is most centrally related.
-
E.
regionOfAcademicInterest
Indicates that an entity has a particular academic field or subject area as its focus of interest or study.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.