Triple

T28791870
Position Surface form Disambiguated ID Type / Status
Subject Kvarken Archipelago E726975 entity
Predicate willBecomeLandConnectionBetween P41624 FINISHED
Object Finland and Sweden NE NERFINISHED

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: Finland and Sweden | Statement: [Kvarken Archipelago, willBecomeLandConnectionBetween, Finland and Sweden]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: willBecomeLandConnectionBetween
Context triple: [Kvarken Archipelago, willBecomeLandConnectionBetween, Finland and Sweden]
  • A. connectsLandform chosen
    Indicates a relationship where one landform serves as a physical link or passage between two or more other landforms.
  • B. hasConnectionToLand
    Indicates that one entity is linked, attached, or otherwise related to a specific piece or area of land.
  • C. connectsPeninsulaTo
    Indicates a relationship where a geographic feature or structure links a peninsula to another landmass or area.
  • D. connectsIslandWithMainland
    Indicates a relationship where a structure or route provides a direct link between an island and the mainland.
  • E. connectsInlandCommunitiesTo
    Indicates a relationship in which something serves as a link or conduit between inland communities and another place, system, or network.
  • 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_69f0319aabec81908368720196f69a35 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ee40088190b71e1219407690d0 completed May 2, 2026, 8:05 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:23 a.m.