Triple

T15512211
Position Surface form Disambiguated ID Type / Status
Subject Sametinget i Finland E368738 entity
Predicate hasNumberOfDeputyMembers P80248 FINISHED
Object 4 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: 4 | Statement: [Sametinget i Finland, hasNumberOfDeputyMembers, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDeputyMembers
Context triple: [Sametinget i Finland, hasNumberOfDeputyMembers, 4]
  • A. hasNumberOfDeputies chosen
    Indicates the specific count of deputies associated with or assigned to an entity.
  • B. hasDeputyHeads
    Indicates that an entity has one or more individuals serving in subordinate leadership roles as deputy heads.
  • C. hasNumberOfMinisters
    Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
  • D. hasDeputyChiefMinister
    Indicates that an entity serves as the deputy chief minister of another entity (typically a political jurisdiction or government).
  • E. hasDeputeLeader
    Indicates that an entity serves as the deputy leader (second-in-command) of another entity.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 4 a.m.