Triple
T6726523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Charles University |
E153530
|
entity |
| Predicate | establishedAsFaculty |
P73382
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Faculty of Science, Charles University, establishedAsFaculty, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsFaculty Context triple: [Faculty of Science, Charles University, establishedAsFaculty, 1920]
-
A.
hasUniversityFaculty
Indicates that a university or academic institution employs or is associated with one or more faculty members.
-
B.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
C.
hadFacultyFrom
Indicates that an educational institution employed or was associated with faculty members originating from a specified place or institution.
-
D.
confessionFacultyMadePermanentYear
Indicates the year in which a faculty member’s previously temporary or provisional confession-related role or status was made permanent.
-
E.
isProfessorshipIn
Indicates that a professorship position is associated with or belongs to a specific academic field, department, or institution.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d35134148190b49fb5c25a0f8ed4 |
completed | March 27, 2026, 6:58 p.m. |
Created at: March 27, 2026, 2:08 p.m.