Triple
T5822686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filozofická fakulta Univerzity Karlovy |
E129147
|
entity |
| Predicate | oblast specializace |
P67153
|
FINISHED |
| Object | humanitní vědy |
—
|
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: humanitní vědy | Statement: [Filozofická fakulta Univerzity Karlovy, oblast specializace, humanitní vědy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oblast specializace Context triple: [Filozofická fakulta Univerzity Karlovy, oblast specializace, humanitní vědy]
-
A.
positionSpecialization
Indicates that one position is a more specialized or focused variant of another, broader position.
-
B.
embryologicalFeature
Indicates a relationship where one entity is an anatomical or biological structure characterized or defined by its origin, development, or properties during the embryonic stage.
-
C.
hasSpecializedOrgan
Indicates that an entity possesses a distinct organ adapted for a particular specialized function or role.
-
D.
eraOfPrimaryDevelopment
Indicates the time period during which something was primarily developed or formed.
-
E.
progenitorType
Indicates the type or category of ancestor or originating entity from which another entity descends or is derived.
- 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_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. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:53 p.m.