Triple
T5822703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filozofická fakulta Univerzity Karlovy |
E129147
|
entity |
| Predicate | hlavní činnost |
P40655
|
FINISHED |
| Object | vysokoškolské vzdělávání |
—
|
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: vysokoškolské vzdělávání | Statement: [Filozofická fakulta Univerzity Karlovy, hlavní činnost, vysokoškolské vzdělávání]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hlavní činnost Context triple: [Filozofická fakulta Univerzity Karlovy, hlavní činnost, vysokoškolské vzdělávání]
-
A.
primaryWork
Indicates that one work is the main or most significant work associated with a given entity, as opposed to other secondary or related works.
-
B.
majorActivity
chosen
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
C.
laterMainBusiness
Indicates that one business activity or enterprise occurs after and succeeds another as the main business.
-
D.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
E.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.