Triple

T15337882
Position Surface form Disambiguated ID Type / Status
Subject Karasjok Municipality E366714 entity
Predicate hasNorwegianName P1435 FINISHED
Object Karasjok E365882 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: Karasjok | Statement: [Karasjok Municipality, hasNorwegianName, Karasjok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karasjok
Context triple: [Karasjok Municipality, hasNorwegianName, Karasjok]
  • A. Karasjok chosen
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • B. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • C. Andenes
    Andenes is a small coastal village in northern Norway known for its Arctic location, fishing heritage, and whale-watching tourism.
  • D. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • E. Ivalo
    Ivalo is a village in northern Finnish Lapland known as a key transport hub and gateway to the surrounding Arctic wilderness and tourism areas.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e11b22c81908280efe65acd5454 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4544d5008190ba479a6c56cedc20 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:17 a.m.