Triple

T6877874
Position Surface form Disambiguated ID Type / Status
Subject Norwegian education system E158715 entity
Predicate primaryAndLowerSecondaryResponsibility P73898 FINISHED
Object municipalities 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: municipalities | Statement: [Norwegian education system, primaryAndLowerSecondaryResponsibility, municipalities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryAndLowerSecondaryResponsibility
Context triple: [Norwegian education system, primaryAndLowerSecondaryResponsibility, municipalities]
  • A. principalSchoolIn
    Indicates that an individual serves as the principal (head administrator) of a particular school.
  • B. primarySchool
    Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
  • C. primaryStudentBody
    Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
  • D. laterPrimaryRole
    Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
  • E. primaryIntake
    Indicates that one entity serves as the main or first point of intake, reception, or admission for another entity.
  • 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.