Triple
T23019545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matura examination |
E573122
|
entity |
| Predicate | typicalAgeAtExamination |
P78532
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Matura examination, typicalAgeAtExamination, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgeAtExamination Context triple: [Matura examination, typicalAgeAtExamination, 18]
-
A.
typicalAge
chosen
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
B.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
-
C.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
D.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
E.
approximateStartAge
Indicates the estimated or roughly determined age at which an event, condition, or state begins.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e777cc81908c0b0bfd9d5a717c |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:52 p.m.