Triple

T13418246
Position Surface form Disambiguated ID Type / Status
Subject Gisundet strait E313269 entity
Predicate separates P1175 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: [Gisundet strait, separates, Senja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senja
Context triple: [Gisundet strait, separates, 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d86d32c8190a1d9ce72e99426e2 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:39 p.m.