Triple

T6225178
Position Surface form Disambiguated ID Type / Status
Subject Tahkuna Peninsula E139211 entity
Predicate tourismRegion P3030 FINISHED
Object Hiiumaa tourism area E24531 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: Hiiumaa tourism area | Statement: [Tahkuna Peninsula, tourismRegion, Hiiumaa tourism area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiiumaa tourism area
Context triple: [Tahkuna Peninsula, tourismRegion, Hiiumaa tourism area]
  • A. Hiiumaa chosen
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • B. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • C. Naissaar
    Naissaar is a forested Estonian island in the Baltic Sea known for its military history, nature reserves, and proximity to Tallinn.
  • D. Kuhmo
    Kuhmo is a town and municipality in eastern Finland known for its forests, lakes, and rich cultural life, including the renowned Kuhmo Chamber Music Festival.
  • E. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d42c688190be4d8d8325d6daaa completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:22 p.m.