Triple

T416684
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Norway E8007 entity
Predicate seats P2491 FINISHED
Object 169 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: 169 | Statement: [Parliament of Norway, seats, 169]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seats
Context triple: [Parliament of Norway, seats, 169]
  • A. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • B. hasSeat
    Indicates that one entity possesses, provides, or includes a seat for another entity.
  • C. seatingCapacity chosen
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • D. seatCategory
    Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
  • E. otherSeat
    Indicates that one entity is the alternative or different seat relative to another seat in a given context.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.