Triple
T25348540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German University in Prague |
E635619
|
entity |
| Predicate | studentBodyLanguage |
P158228
|
FINISHED |
| Object | German-speaking |
—
|
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: German-speaking | Statement: [German University in Prague, studentBodyLanguage, German-speaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentBodyLanguage Context triple: [German University in Prague, studentBodyLanguage, German-speaking]
-
A.
governingBodyLanguage
Indicates the language officially used by the governing body to conduct its affairs, issue documents, and communicate.
-
B.
studentBodyFocus
Indicates that the primary attention, concern, or efforts are directed toward the student body as a whole.
-
C.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
D.
representsStudentBody
Indicates that one entity serves as the official representative or governing body for the students of another entity (such as a school or institution).
-
E.
inUniverseStudentBody
Indicates that a student body exists within, or is part of, a particular fictional or defined universe.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49dfa0e948190b98f6999963c7d55 |
completed | May 1, 2026, 12:35 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:34 p.m.