Triple
T35055509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyvinkää Upper Secondary School |
E1011450
|
entity |
| Predicate | assessmentLeadsTo |
P115362
|
FINISHED |
| Object | matriculation examination certificate |
—
|
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: matriculation examination certificate | Statement: [Hyvinkää Upper Secondary School, assessmentLeadsTo, matriculation examination certificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assessmentLeadsTo Context triple: [Hyvinkää Upper Secondary School, assessmentLeadsTo, matriculation examination certificate]
-
A.
assessmentImplication
Indicates that one assessment leads to, influences, or justifies another assessment or conclusion.
-
B.
canLeadTo
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
C.
assessmentEmphasis
Indicates the particular aspect, component, or criterion of a subject that an assessment is primarily focused on or gives greatest weight to.
-
D.
qualificationLeadsTo
chosen
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
-
E.
assessmentBasis
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.