Triple

T6364949
Position Surface form Disambiguated ID Type / Status
Subject Tahkuna Lighthouse E143201 entity
Predicate region P40 FINISHED
Object Hiiumaa 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 | Statement: [Tahkuna Lighthouse, region, Hiiumaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiiumaa
Context triple: [Tahkuna Lighthouse, region, Hiiumaa]
  • 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. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • C. Naissaar
    Naissaar is a forested Estonian island in the Baltic Sea known for its military history, nature reserves, and proximity to Tallinn.
  • D. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • E. Ruhnu
    Ruhnu is a small Estonian island in the Gulf of Riga, known for its remote location, traditional wooden lighthouse and church, and unique cultural heritage.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680ed0148190b6e310b15b3449ff completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7580ad55081908bb7c70fca29cb22 completed March 28, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:32 p.m.