Triple
T31991606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangastuksia |
E816886
|
entity |
| Predicate | isIncludedInCurriculum |
P62594
|
FINISHED |
| Object | Finnish literature studies |
—
|
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: Finnish literature studies | Statement: [Kangastuksia, isIncludedInCurriculum, Finnish literature studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIncludedInCurriculum Context triple: [Kangastuksia, isIncludedInCurriculum, Finnish literature studies]
-
A.
curriculumIncluded
chosen
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
B.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
-
C.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
D.
hasCurriculumScope
Indicates that a curriculum or educational program applies to, or is defined within, a particular scope or context (such as grade level, subject area, or institution).
-
E.
isCourse
Indicates that an entity functions as or qualifies as a course within a given context or system.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3b9ad2c8190ba59409cbd3da87f |
completed | May 3, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:13 a.m.