Triple
T25345974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanderring campus, University of Würzburg |
E635549
|
entity |
| Predicate | isCampusType |
P110
|
FINISHED |
| Object | urban campus |
—
|
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: urban campus | Statement: [Sanderring campus, University of Würzburg, isCampusType, urban campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCampusType Context triple: [Sanderring campus, University of Würzburg, isCampusType, urban campus]
-
A.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
-
B.
campusType
chosen
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
C.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
D.
isRegionalCampus
Indicates that one educational institution functions as a regional campus or satellite location of another, typically larger, institution.
-
E.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498bb04ec8190bd125654fdcd2027 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:34 p.m.