Triple

T5484351
Position Surface form Disambiguated ID Type / Status
Subject Saaremaa municipality E123541 entity
Predicate coversMostOf P2574 FINISHED
Object Saaremaa Island E24108 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: Saaremaa Island | Statement: [Saaremaa municipality, coversMostOf, Saaremaa Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaremaa Island
Context triple: [Saaremaa municipality, coversMostOf, Saaremaa Island]
  • A. Saaremaa chosen
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • B. Naissaar
    Naissaar is a forested Estonian island in the Baltic Sea known for its military history, nature reserves, and proximity to Tallinn.
  • C. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • D. Valaam Islands
    The Valaam Islands are a scenic archipelago in northwestern Russia best known for the historic Valaam Monastery and their rugged natural landscapes.
  • E. Slovanský Island
    Slovanský Island is a small historic island in central Prague known for its cultural venues, scenic riverside views, and recreational spaces along the Vltava River.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9260d90c819087f34ab24662575d completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8584123481909d41d83c60ec2561 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 2:10 p.m.