Triple
T1504077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hague University of Applied Sciences |
E33859
|
entity |
| Predicate | programOrientation |
P13679
|
FINISHED |
| Object | Practice-oriented |
—
|
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: Practice-oriented | Statement: [The Hague University of Applied Sciences, programOrientation, Practice-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programOrientation Context triple: [The Hague University of Applied Sciences, programOrientation, Practice-oriented]
-
A.
programFocus
chosen
Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
-
B.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
C.
programLevel
Indicates the hierarchical or categorical level at which a program is defined or operates (e.g., undergraduate, graduate, or other tiers).
-
D.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
E.
programOn
Indicates that a program is scheduled to be broadcast or presented on a particular channel, station, platform, or device.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.