Triple

T3582961
Position Surface form Disambiguated ID Type / Status
Subject Finnish markka E75842 entity
Predicate wasLegalTenderIn P2878 FINISHED
Object Åland Islands E23094 NE 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: Åland Islands | Statement: [Finnish markka, wasLegalTenderIn, Åland Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åland Islands
Context triple: [Finnish markka, wasLegalTenderIn, Åland Islands]
  • A. Åland Islands chosen
    The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
  • B. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • C. Faroe Islands
    The Faroe Islands are a self-governing North Atlantic archipelago under the sovereignty of the Kingdom of Denmark, known for their rugged landscapes, fishing-based economy, and distinct Faroese culture and language.
  • D. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • E. Schwedeninsel
    Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc104846c81908b6fbde7061464b4 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f7ee6481908d06db05f9c09faf completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.