Triple
T6877897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian education system |
E158715
|
entity |
| Predicate | earlyChildhoodEducationName |
P73901
|
FINISHED |
| Object | barnehage |
—
|
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: barnehage | Statement: [Norwegian education system, earlyChildhoodEducationName, barnehage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyChildhoodEducationName Context triple: [Norwegian education system, earlyChildhoodEducationName, barnehage]
-
A.
elementarySchoolName
Indicates the name of the elementary school associated with a given entity.
-
B.
regionOfEarlyReception
Indicates the geographic area where something was first received, adopted, or influentially taken up.
-
C.
servedAsEarlySchoolFor
Indicates that one entity functioned as an initial or predecessor school for another entity before it became a later or more formal educational institution.
-
D.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
E.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
- F. None of above. chosen
Provenance (4 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ccc29c8190904cb73c4cbb5dca |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.