Triple

T228157
Position Surface form Disambiguated ID Type / Status
Subject Norwegian language E4355 entity
Predicate usedAsMediumOf P4793 FINISHED
Object education in Norway 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: education in Norway | Statement: [Norwegian language, usedAsMediumOf, education in Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsMediumOf
Context triple: [Norwegian language, usedAsMediumOf, education in Norway]
  • A. usedMedium chosen
    Indicates that an action or communication was carried out through a particular medium or channel.
  • B. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. usedByMedia
    Indicates that something is employed or utilized by media organizations or media-related channels.
  • D. usedAt
    Indicates that something is employed, applied, or utilized at a particular place, time, or context.
  • E. usedByDenomination
    Indicates that something (such as an object, practice, or concept) is employed or utilized by a particular religious denomination.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b5877588190af694d060377f027 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.