Triple
T2280412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Barcelona |
E51266
|
entity |
| Predicate | alsoUsesLanguageOfInstruction |
P36226
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [University of Barcelona, alsoUsesLanguageOfInstruction, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoUsesLanguageOfInstruction Context triple: [University of Barcelona, alsoUsesLanguageOfInstruction, English]
-
A.
primaryLanguageOfInstruction
Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
-
B.
hasLanguageOfStudy
Indicates that an entity studies or is engaged in learning a particular language.
-
C.
taughtAsForeignLanguageIn
Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
-
D.
historicallyDominantLanguageOfHigherEducationIn
Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
-
E.
usesWorkingLanguagesOf
Indicates that one entity employs or operates using the working languages associated with another entity.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21ac3d48190abef254e1c3f45e8 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe4368a88190956bc9ee89c0fd1f |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:48 p.m.