Triple
T20369122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish university of applied sciences system |
E496997
|
entity |
| Predicate | masterCredits |
P30264
|
FINISHED |
| Object | 60–90 ECTS credits |
—
|
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: 60–90 ECTS credits | Statement: [Finnish university of applied sciences system, masterCredits, 60–90 ECTS credits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: masterCredits Context triple: [Finnish university of applied sciences system, masterCredits, 60–90 ECTS credits]
-
A.
creditsAre
chosen
Indicates that certain credits are assigned, attributed, or owed to a particular entity or set of entities.
-
B.
productionCredit
Indicates that an entity is credited with producing or overseeing the creation of another entity, such as a work, recording, or performance.
-
C.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
-
D.
contributors
Indicates that one or more entities have provided work, resources, or input toward the creation, development, or maintenance of another entity.
-
E.
tailorsCreditsFor
Indicates that one party customizes or adjusts credits to suit the needs, characteristics, or context of another party.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787454a88190ae87d9b3c9b5ad27 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:26 a.m.