Triple
T25031688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Business Administration and Economics |
E626861
|
entity |
| Predicate | campusOfInstitution |
P269
|
FINISHED |
| Object | Catholic University of Eichstätt-Ingolstadt |
—
|
NE NERFINISHED |
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: Catholic University of Eichstätt-Ingolstadt | Statement: [Faculty of Business Administration and Economics, campusOfInstitution, Catholic University of Eichstätt-Ingolstadt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusOfInstitution Context triple: [Faculty of Business Administration and Economics, campusOfInstitution, Catholic University of Eichstätt-Ingolstadt]
-
A.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
B.
campusName
Indicates the official name assigned to a particular campus.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campus
chosen
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44f6fcab081909470c94a5f519d79 |
completed | May 1, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:07 a.m.