Triple

T17259550
Position Surface form Disambiguated ID Type / Status
Subject Gjøvik Region E418973 entity
Predicate containsMunicipality P852 FINISHED
Object Søndre Land E432628 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: Søndre Land | Statement: [Gjøvik Region, containsMunicipality, Søndre Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Søndre Land
Context triple: [Gjøvik Region, containsMunicipality, Søndre Land]
  • A. Søndre Land chosen
    Søndre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
  • B. Wilkes Land
    Wilkes Land is a vast, largely ice-covered region of Antarctica facing the Indian Ocean, known for its extensive ice sheet and underlying geological structures.
  • C. Nordenskiöld Land
    Nordenskiöld Land is a region on the island of Spitsbergen in the Svalbard archipelago of Norway, encompassing the area around the main settlement of Longyearbyen.
  • D. Enderby Land
    Enderby Land is a remote, ice-covered coastal region of Antarctica along the Southern Ocean, known for its harsh climate and largely unexplored terrain.
  • E. Queen Maud Land
    Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6fa940819089046d1b12dede2c completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.