Triple

T13398286
Position Surface form Disambiguated ID Type / Status
Subject Gryllefjord E319757 entity
Predicate locatedIn P40 FINISHED
Object Senja E79491 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: Senja | Statement: [Gryllefjord, locatedIn, Senja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senja
Context triple: [Gryllefjord, locatedIn, Senja]
  • A. Senja chosen
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • B. Bilibino
    Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
  • C. Ruka
    Ruka is a major Finnish ski resort and year-round outdoor destination located in northern Finland’s Kuusamo region.
  • D. Somero
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • E. Mayen
    Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
  • 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_69f754734db081909f262fa2325b7e6d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:34 p.m.