Triple
T22711221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josip Juraj Strossmayer University of Osijek |
E561603
|
entity |
| Predicate | namedAfterEponymRole |
P53948
|
FINISHED |
| Object | patron of education |
—
|
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: patron of education | Statement: [Josip Juraj Strossmayer University of Osijek, namedAfterEponymRole, patron of education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterEponymRole Context triple: [Josip Juraj Strossmayer University of Osijek, namedAfterEponymRole, patron of education]
-
A.
isNamedForEponymRole
chosen
Indicates that one entity bears a name derived from another entity that serves as its eponym or namesake.
-
B.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
C.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
D.
eponymHeldPosition
Indicates that the person after whom something is named once held a particular position or role.
-
E.
hasEponymConnectionTo
Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.