Triple

T13398289
Position Surface form Disambiguated ID Type / Status
Subject Gryllefjord E319757 entity
Predicate locatedOn P40 FINISHED
Object island of Senja E1049266 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: island of Senja | Statement: [Gryllefjord, locatedOn, island of Senja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Senja
Context triple: [Gryllefjord, locatedOn, island of Senja]
  • A. island of Senja chosen
    The island of Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, deep fjords, and picturesque fishing villages above the Arctic Circle.
  • B. Hisingen island
    Hisingen island is Sweden’s fifth-largest island, located in Gothenburg and known as a major urban and industrial area within the city.
  • C. Senja island
    Senja island is Norway’s second-largest island, renowned for its dramatic coastal scenery, rugged mountains, and picturesque fishing villages above the Arctic Circle.
  • D. Tromsøya island
    Tromsøya island is a Norwegian island in Troms og Finnmark county that hosts the city center of Tromsø and is known for its Arctic location and vibrant cultural life.
  • E. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b058bc688190b3549d1cac6f4576 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:34 p.m.