Triple

T18872577
Position Surface form Disambiguated ID Type / Status
Subject Norwegian parliamentary elections E461607 entity
Predicate purposeOfLevelingSeats P133283 FINISHED
Object national proportionality 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: national proportionality | Statement: [Norwegian parliamentary elections, purposeOfLevelingSeats, national proportionality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeOfLevelingSeats
Context triple: [Norwegian parliamentary elections, purposeOfLevelingSeats, national proportionality]
  • A. seatAllocationLevel
    Indicates the degree or priority level at which seats are assigned or distributed among eligible entities.
  • B. seatsDonationPurpose
    Indicates that a seating arrangement or allocation is made specifically for the purpose of a donation or charitable contribution.
  • C. numberOfSeatingLevels
    Indicates the total count of distinct seating levels or tiers associated with a venue, structure, or seating arrangement.
  • D. seatInHierarchy
    Indicates that one entity occupies a specific position or level within an ordered hierarchy relative to other entities.
  • E. seatStructure
    Indicates that one entity serves as the structural or physical seating component or arrangement associated with 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2aa9074819092137d236df3717b completed April 20, 2026, 6:07 a.m.
PD Predicate disambiguation batch_69e48d22dde8819093b1d963bd673365 completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:57 a.m.