Triple
T22618632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMU MFI |
E558212
|
entity |
| Predicate | usesAbbreviationOf |
P148953
|
FINISHED |
| Object | Mathematik, Informatik und Statistik |
—
|
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: Mathematik, Informatik und Statistik | Statement: [LMU MFI, usesAbbreviationOf, Mathematik, Informatik und Statistik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAbbreviationOf Context triple: [LMU MFI, usesAbbreviationOf, Mathematik, Informatik und Statistik]
-
A.
usesAbbreviationIn
Indicates that an entity is referred to by an abbreviated form within a specified context, source, or representation.
-
B.
canBeUsedWithAbbreviation
Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
-
C.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
-
D.
usesAbbreviationInStatistics
Indicates that one entity employs an abbreviated form of another entity specifically within statistical contexts or analyses.
-
E.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e377ae88190832edfdfbc3ed58f |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3 p.m.