Triple
T12722168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Ingolstadt |
E304011
|
entity |
| Predicate | dissolutionAsIngolstadtUniversity |
P106568
|
FINISHED |
| Object | 1800 |
—
|
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: 1800 | Statement: [University of Ingolstadt, dissolutionAsIngolstadtUniversity, 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolutionAsIngolstadtUniversity Context triple: [University of Ingolstadt, dissolutionAsIngolstadtUniversity, 1800]
-
A.
degreeGrantingInstitution
Indicates the institution that formally awarded a particular academic degree to an entity.
-
B.
hasDoctoralDegreeFrom
Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
-
C.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
D.
dividedInstitution
Indicates that an institution has been split into two or more distinct parts or factions, typically along organizational, ideological, or structural lines.
-
E.
doctoralThesisLanguage
Indicates the language in which a doctoral thesis is written or formally presented.
- F. None of above. chosen
Provenance (4 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:24 p.m.